学历背景·2007.9-2011.6?电气与计算机工程,?University?of?Lisbon，博士
·2004.9-2007.6?摄影测量与遥感，北京大学，硕士
·2000.9-2004.6?地理信息系统，湖南师范大学，本科
?工作经历· 2014.01-?中山大学教授，博士生导师
· 2011.06-2013.12?西班牙University?of?Extremadura，博士后
?社会任职---- IEEE Senior Member
---- Associate Editor, IEEE Transactions on Geoscience and Remote Sensing(2019?- present)
---- Guest Editor of ?Special Issue on “Spatial Technology and Social Media” in the Proceedings of the IEEE journal?and?Special Issue on “Deep Learning for Remotely Sensed Data” in the ISPRS Journal of Photogrammetry and Remote Sensing journal
---- President of Guangzhou Chapter of the IEEE Geoscience and Remote Sensing Society?
---- Associate Editor, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing(2015 - 2018)
---- Co-Chair, SPIE Remote Sensing: High-Performance Computing in Remote Sensing (2015,08)
---- General Chair, International Workshop on Multi-Sensor Data Fusion for Remote Sensing Image Analysis, Guangzhou, China, September 9-11, 2014
---- Reviewer for IEEE TGRS, IEEE JSTARS, IEEE GRSL, IEEE SPM, IEEE TSP, IEEE TIP, IEEE TIT, Optical Engineering, Inverse Problems and Imaging, EURASIP Journal on Advances in Signal Processing, Pattern Recognition, Sensors, etc
?
讲授课程数量地理学，高光谱分析
?论著专利Journal Papers
J. M. Haut, M. E. Paoletti, J. Plaza, A. Plaza and J. Li*. Visual Attention-Driven Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 10, pp. 8065-8080, October 2019. [IF(2018)=5.630]
X. Xu, J. Li*, S. Li and A. Plaza. Subpixel Component Analysis for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 8, pp. 5564-5579, August 2019. [IF(2018)=5.630]
L. He*, J. Zhu, J. Li*, A. Plaza, J. Chanussot and B. Li. HyperPNN: Hyperspectral Pansharpening via Spectrally Predictive Convolutional Neural Networks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 12, no. 8, pp. 3092-3100, August 2019. [IF(2018)=3.392]
J. M. Haut, M. E. Paoletti, J. Plaza, A. Plaza and J. Li*. Hyperspectral Image Classification Using Random Occlusion Data Augmentation. IEEE Geoscience and Remote Sensing Letters, accepted for publication, 2019. [IF(2018)=3.534]
J. M. Haut, M. E. Paoletti, R. Fernandez-Beltran, J. Plaza, A. Plaza and J. Li*. Remote Sensing Single-Image Super-Resolution Based on a Deep Compendium Model. IEEE Geoscience and Remote Sensing Letters, vol. 16, no. 9, pp. 1432-1436, September 2019. [IF(2018)=3.534]
Y. Gu, T. Liu, J. Li. Superpixel Tensor Model for Spatial-Spectral Classification of Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 7, pp. 4705-4719, July 2019. [IF(2018)=5.630]
L. Guo, Y. Yu, H. Yu, Y. Tang, J. Li*, Y. Du*, Y. Chu, S. Ma, Y. Ma and X. Zeng. Rapid quantitative analysis of adulterated rice with partial least squares regression using hyperspectral imaging system. Journal of the Science of Food and Agriculture, vol. 99, no. 12, pp. 5558-5564, May 2019. [IF(2018)=2.422]
M. E. Paoletti, J. M. Haut, R. Fernandez-Beltran, J. Plaza, A. Plaza, J. Li* and F. Pla. Capsule Networks for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 4, pp. 2145-2160, April 2019. [IF(2018)=5.630]
Y. Su, J. Li*, A. Plaza, A. Marinoni, P. Gamba and S. Chakravortty. DAEN: Deep Auto-Encoder Networks for Hyperspectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 7, pp. 4309-4321, July 2019. [IF(2018)=5.630]
L. He, Y. Rao, J. Li*, J. Chanussot, A. Plaza and J. Zhu. Pansharpening via Detail Injection Based Convolutional Neural Networks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 12, no. 4, pp. 1188-1204, April 2019. [IF(2018)=3.392]
S. Xu, J. Li*, M. Khodadadzadeh, A. Marinoni, P. Gamba and B. Li. Abundance-Indicated Subspace for Hyperspectral Classi?cation with Limited Training Samples. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 12, no. 4, pp. 1265-1278, April 2019. [IF(2018)=3.392]
H. Liu, J. Li*, L. He, and Y. Wang. Superpixel-Guided Layer-Wise Embedding CNN for Remote Sensing Image Classification. Remote Sensing, vol. 11, no. 2, 174, February 2019. [IF(2018)=4.118]
M. Zhang, M. Gong, Y. Mao, J. Li, Y. Wu. Unsupervised Feature Extraction in Hyperspectral Images Based on Wasserstein Generative Adversarial Network, IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 5, pp. 2669-2688, May 2019. [IF(2018)=5.630]
C. Liu, J. Li* and L. He. Superpixel-Based Semisupervised Active Learning for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 12, no. 1, pp. 357-370, Jan. 2019. [IF(2018)=3.392]
C. Zhu, J. Li*, S. Zhang, C. Wu, B. Zhang and L. Gao. Impervious Surface Extraction From Multispectral Images via Morphological Attribute Profiles Based on Spectral Analysis. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, no. 12, pp. 4775-4790, December 2018. [IF(2018)=3.392]
J. Cao, K. Liu, L. Liu, Y. Zhu, J. Li and Z. He. Identifying Mangrove Species Using Field Close-Range Snapshot Hyperspectral Imaging and Machine-Learning Techniques, Remote Sensing, vol. 10, no. 12, 2047, December 2018. [IF(2018)=4.118]
Y. Yu, J. Li*, C. Zhu and A. Plaza. Urban Impervious Surface Estimation from Remote Sensing and Social Data. Photogrammetric Engineering & Remote Sensing, vol. 84, no. 12, pp. 771-780, December 2018. [IF(2017)=1.367]
J. M. Haut, M. E. Paoletti, J. Plaza, J. Li* and A. Plaza.?Active Learning with Convolutional Neural Networks for Hyperspectral Image Classification Using a New Bayesian Approach.?IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 11, pp. 6440-6461, November 2018. [IF(2018)=5.630] (26 citations in Google Scholar)
X. Xu, X. Tong, A. Plaza, J. Li, H. Xie and L. Zhang.?A New Spectral-Spatial Sub-Pixel Mapping Model for Remotely Sensed Hyperspectral Imagery.?IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 11, pp. 6763-6778, November 2018 [IF(2018)=5.630].
K. Tan, X. Wang, J. Zhu, J. Hu and J. Li. A novel active learning approach for the classification of hyperspectral imagery using quasi-Newton multinomial logistic regression. International Journal of Remote Sensing, vol.39, no.10, 3029-3054, October 2018. [IF(2018)=2.493]
Y. Liu , R. Deng, J. Li, Y. Qin, L. Xiong, Q. Chen , X. Liu. Multispectral Bathymetry via Linear Unmixing of the Benthic Reflectance, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, no.11, 4349-4363, November 2018. [IF(2018)=3.392]
S. Zhang, J. Li*, Z. Wu, A. Plaza. Spatial Discontinuity-Weighted Sparse Unmixing of Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 10, pp. 5767-5779, October 2018. [IF(2018)=5.630] (9 citations in Google Scholar)
X.-R. Feng, H.-C. Li, J. Li, Q. Du, A. Plaza and W. J. Emery.?Hyperspectral Unmixing Using Sparsity Constrained Deep Nonnegative Matrix Factorization with Total Variation.?IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 10, pp. 6245-6257, October 2018. [IF(2018)=5.630] (8 citations in Google Scholar)
Y. Su, A. Marinoni, J. Li*, J. Plaza and P. Gamba. Stacked Nonnegative Sparse Auto-encoders for Robust Hyperspectral Unmixing. IEEE Geoscience and Remote Sensing Letters,? vol. 15, no. 9, pp. 1427-1431, September 2018. [IF(2018)=3.534]
Y. Yu,?H. Yu,?L. Guo*,?J. Li*,?Y. Chu, et al. Accuracy and stability improvement in detecting Wuchang rice adulteration by piece-wise multiplicative scatter correction in the hyperspectral imaging system. Analytical Methods, vol. 10, pp. 3224-3231, 2018. ?[IF(2018)=2.378]
S. Zhang, J. Li*, H. Li, C. Deng and A. Plaza. Spectral-Spatial Weighted Sparse Regression for Hyperspectral Image Unmixing. IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 6, pp. 3265-3276, June 2018. [IF(2018)=5.630] (26 citations in Google Scholar)
Y. Liu, F. Condessa, J. Bioucas-Dias, J. Li*, P. Du, A. Plaza. Convex Formulation for Multiband Image Classification with Superpixel-Based Spatial Regularization. IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 5, pp. 2704-2721, May 2018. [IF(2018)=5.630]
L. Xiong, R. Deng, J. Li, X. Liu, Y. Qin, Y. Liang and Y. Liu. Subpixel Surface Water Extraction (SSWE) Using Landsat 8 OLI Data. Water, vol.10, no.5, pp. 653, 2018. [IF(2018)=2.524]
Z. Wu, L. Shi, J. Li, Q. Wang, L. Sun, Z. Wei, J. Plaza and A. Plaza. GPU Parallel Implementation of Spatially Adaptive Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, no. 4, pp. 1131-1143, April 2018. [IF(2018)=3.392] (ESI Highly Cited Paper) (34 citations in Google Scholar)
M. Chen, D. Liu, K. Qian, J. Li, M. Lei, Y. Zhou. Lunar Crater Detection Based on Terrain Analysis and Mathematical Morphology Methods Using Digital Elevation Models. IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 7, pp. 3681-3692, July 2018. [IF(2018)=5.630]
C. Zhu, S. Zhang, J. Li*, H-C. Li. Spatially Weighted Collaborative Sparse Unmixing for Hyperspectral Images, Journal of Nanjing University of Information Science and Technology (Natural Science Edition), vol.10, no. 1, pp: 92-101, January 2018 (in Chinese).
X. Jiang, M. Gong, H. Li, M. Zhang, J. Li. A Two-Phase Multiobjective Sparse Unmixing Approach for Hyperspectral Data, IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 1, pp. 508-523, January 2018. [IF(2018)=5.630].
X. Xu, J. Li*, C. Wu and A. Plaza. Regional Clustering-Based Preprocessing for Hyperspectral Unmixing. Remote Sensing of Environment, vol. 204, pp. 333-346, 2018. [IF(2018)=8.828]. (14 citations in Google Scholar)
X. Xu, J. Li*, S. Li. Multiview Intensity-Based Active Learning for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 2, pp. 669-680, February 2018. [IF(2018)=5.630] (13 citations in Google Scholar)
L. He, J. Li*, C. Liu, S. Li. Recent Advances on Spectral-Spatial Hyperspectral Image Classification: An Overview and New Guidelines, IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 3, pp. 1579-1597, February 2018. [IF(2018)=5.630] (ESI Highly Cited Paper) (80 citations in Google Scholar)
S. Chakravortty, J. Li* and A. Plaza. A Technique for Sub-Pixel Analysis of Dynamic Mangrove Ecosystems with Time-Series Hyperspectral Image Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, no. 4, pp. 1244-1252, April 2018. [IF(2018)=3.392]
Z. He, J. Li*, K. Liu, L. Liu, H. Tao.? Kernel low-rank multitask learning in variational mode decomposition domain for multi-/hyperspectral classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 7, pp. 4193-4208, July 2018. [IF(2018)=5.630]
J. Hu, Z. He*, J. Li*, L. He and Y. Wang. 3D-Gabor Inspired Multiview Active Learning for Spectral-Spatial Hyperspectral Image Classification. Remote Sensing, vol. 10, no. 7, pp. 1070, July 2018. [IF(2018)=4.118]
C. Liu, L. He, Zhetao Li and J. Li*. Feature Driven Active Learning for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 1, pp. 341-354, January 2018. [IF(2017)=4.662] (15 citations in Google Scholar)
S. Zhang, A. Agathos, and J. Li*. Robust Minimum Volume Simplex Analysis for Hyperspectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 11, pp. 6431-6439, November 2017. [IF(2017)=4.662] (12 citations in Google Scholar)
A. Plaza, J. A. Benediktsson, J. Li, T. Yang and B. Zhang. Spatial Technology and Social Media. Proceedings of the IEEE, vol. 105, no. 10, pp. 1851-1854, October 2017. [IF(2017)=9.107]
X. Kang, X. Zhang, S. Li, K. Li, J. Li, J. A. Benediktsson. Hyperspectral Anomaly Detection with Attribute and Edge-Preserving Filters. IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 10, pp. 5600-5611, October 2017. [IF(2017)=4.662] (52 citations in Google Scholar)
Z. He, J. Li, L. Liu, Y. Shen, Three-dimensional empirical mode decomposition (TEMD): A fast approach motivated by separable filters, Signal Processing, vol. 131, pp. 307-319, Feb. 2017. [IF(2017)=3.470]? (9 citations in Google Scholar)
P. Ghamisi, J. Plaza, Y. Chen, J. Li and A. Plaza. Advanced Spectral Classifiers for Hyperspectral Images: A Review. IEEE Geoscience and Remote Sensing Magazine, vol. 5, no. 1, pp. 8-32, January 2017. [IF(2017)=4.932] (132 citations in Google Scholar)
P. Ghamisi, N. Yokoya, J. Li, W. Liao, S. Liu, J. Plaza, B. Rasti and A. Plaza. Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art. IEEE Geoscience and Remote Sensing Magazine, vol. 5, no. 4, pp. 37-78, April 2017. [IF(2017)=4.932] (ESI Highly Cited Paper) (90 citations in Google Scholar)
L. He, J. Li, A. Plaza and Y. Li. Discriminative Low-Rank Gabor Filtering for Spectral-Spatial Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 3, pp. 1381-1395, March 2017. [IF(2017)=4.662] (42 citations in Google Scholar)
Z. Xue, P. Du, J. Li, and H. Su, Sparse Graph Regularization for Hyperspectral Remote Sensing Image Classification, IEEE Transactions on Geoscience and Remote Sensing,? vol. 55, no. 4, pp. 2351-2366, April 2017. [IF(2017)=4.662] (15 citations in Google Scholar)
J. Guo, X. Zhou, J. Li, A. Plaza and S. Prasad. Superpixel Based Active Learning and Online Feature Importance Learning for Hyperspectral Image Analysis. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 10, no. 1, pp.? 347-359, January 2017. [IF(2017)=2.777] (19 citations in Google Scholar)
Z. Xue, P. Du, J. Li, and H. Su, Sparse graph regularization for robust crop mapping using hyperspectral remotely sensed imagery with very few in situ data, ISPRS Journal of Photogrammetry and Remote Sensing, 2017, 124: 1-15. [IF(2017)=5.994] (11 citations in Google Scholar)
J. Li, J. A. Benediktsson, B. Zhang, T. Yang and A. Plaza. Spatial Technology and Social Media in Remote Sensing: A Survey. Proceedings of the IEEE, vol. 105, no. 10, pp. 1855-1864, October 2017. [IF(2017)=9.107] (9 citations in Google Scholar)
J. Li, Z. He, J. Plaza, S. Li, J. Chen, H. Wu, Y. Liu and Y. Wang. Social Media: New Perspectives to Improve Remote Sensing for Emergency Response. Proceedings of the IEEE, vol. 105, no. 10, pp. 1900-1912, October 2017. [IF(2017)=9.107](10 citations in Google Scholar)
J. Li, J. A. Benediktsson, B. Zhang, T. Yang and A. Plaza. Spatial Technology and Social Media in Remote Sensing: Challenges and Opportunities. Proceedings of the IEEE, vol. 105, no. 9, pp. 1583-1585, September 2017.[IF(2017)=9.107]
H. Liu, L. He, J. Li. Advances in Deep Learning and Its Applications in Image Processing. ZTE Communications, vol. 23, no.4, pp. 36-40, April 2017 (in Chinese).
Y. Liu, J. Li*, P. Du, A. Plaza, X. Jia and X. Zhang. Class-Oriented Spectral Partitioning for Remotely Sensed Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 10, no. 2, pp. 691-711, February 2017. [IF(2017)=2.777]
R. Wang, H.-C. Li, A. Pizurica, J. Li, A. Plaza and W. J. Emery.?Hyperspectral Unmixing using Double Reweighted Sparse Regression and Total Variation. IEEE Geoscience and Remote Sensing Letters, vol. 14, no. 7, pp. 1146-1150, July 2017. [IF(2017)=2.893]
Q. Lu, X. Huang, J. Li, L. Zhang. A Novel MRF-Based Multifeature Fusion for Classification of Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters, vol. 13, no. 4, pp. 515-519, April 2016. [IF(2016)=2.761]
X. Xu, J. Li*, X. Huang, M. Dalla Mura and A. Plaza. Multiple Morphological Component Analysis Based Decomposition for Remote Sensing Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 5, pp. 3083-3102, May 2016. [IF(2016)=4.942] (29 citations in Google Scholar)
Y. Liu, J. Li*, and A. Plaza. Spectrometer-Driven Spectral Partitioning for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, no. 2, pp. 668-680, Feb. 2016. [IF(2016)=2.913]
J. Li, J. M. Bioucas-Dias, A. Plaza and L. Liu. Robust Collaborative Nonnegative Matrix Factorization for Hyperspectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 10, pp. 6076-6090, Oct. 2016. [IF(2016)=4.942](59 citations in Google Scholar)
J. Li, M. Khodadadzadeh, A. Plaza, X. Jia and J. M. Bioucas-Dias. A Discontinuity Preserving Relaxation Scheme for Spectral-Spatial Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, no. 2, pp. 625-639, February 2016. [IF(2016)=2.913] (43 citations in Google Scholar)
Z. He, J. Li, L. Liu, K. Liu, L. Zhuo, Fast three-dimensional empirical mode decomposition of hyperspectral images for class-oriented multitask learning, IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 11, pp. 6625-6643, Nov. 2016. [IF(2016)=4.942]
Y. Su, X. Sun, L. Gao, J. Li, and B. Zhang. Improved discrete swarm intelligence algorithms for endmember extraction from hyperspectral remote sensing images. Journal of Applied Remote Sensing,? vol. 10, no. 4,? Article ID 045018, 19 pages, Nov. 2016. [IF(2016)=1.107]
J. Liu, Z. Wu, J. Li, L. Xiao, A. Plaza and J. A. Benediktsson. Spatial-Spectral Hyperspectral Image Classification Using Random Multiscale Representation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.9, no. 9, pp.4129-4141, September 2016.? [IF(2016)=2.913]
Z. He, J. Li, L. Liu, Tensor block-sparsity based representation for spectral-spatial hyperspectral image classification, Remote Sensing, vol. 8, no.8, pp. 1-21, August 2016.? [IF(2016)=3.244]
Z. Wu, Y. Li, A. Plaza, J. Li, F. Xiao and Z. Wei. Parallel and Distributed Dimensionality Reduction of Hyperspectral Data on Cloud Computing Architectures. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, no. 6, pp. 2270-2278, June 2016. [IF(2016)=2.913](58 citations in Google Scholar)
A. Samat, J. Li, S. Liu, P. Du, Z. Miao, J. Luo. Improved hyperspectral image classification by active learning using pre-designed mixed pixels, Pattern Recognition. vol. 51, pp.43-58, 2016. [IF(2016)=4.582] (34 citations in Google Scholar)
S. Zhang, J. Li, K. Liu, C. Deng, L. Liu and A. Plaza. Hyperspectral Unmixing Based on Local Collaborative Sparse Regression. IEEE Geoscience and Remote Sensing Letters, vol. 13, no. 5, pp. 631-635, May 2016. [IF(2016)=2.761] (23 citations in Google Scholar)
X. Tan, F. Wu, Z. Yuan, J. Li. Parallel Optimization of LORSAL Algorithm for Remote Sensing Image Classification Based on GPU. Remote sensing information, 31(1), 96-101, 2016. (in Chinese).
B. Song, P. Li, J. Li, and A. Plaza. One-Class Classification of Remote Sensing Images Using Kernel Sparse Representation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, no. 4, pp. 1613-1623, April 2016. [IF(2016)=2.913] (28 citations in Google Scholar)
J. Liu, Z. Wu, J. Li, A. Plaza and Y. Yuan. Probabilistic Kernel Collaborative Representation for Spatial-Spectral Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 4, pp. 2371-2384, April 2016.? [IF(2016)=4.942]? (38 citations in Google Scholar)
Y. Xu, Z. Wu, J. Li, A. Plaza and Z. Wei.?Anomaly Detection in Hyperspectral Images Based on Low-Rank and Sparse Representation.?IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 4, pp. 1990-2000, April 2016. [IF(2016)=4.942](99 citations in Google Scholar)
J. Ou, X. Liu, X. Li, Y. Chen, and J. Li. Quantifying spatiotemporal dynamics of urban growth modes in metropolitan cities of China: Beijing, Shanghai, Tianjin, and Guangzhou. Journal of Urban Planning and Development, 143(1), **, 2016. [IF(2017)=1.252]
H. Yu, L. Gao, J. Li, S. Li, B. Zhang, and J. Benediktsson. Spectral-spatial hyperspectral image classification using subspace-based support vector machines and adaptive Markov random fields, Remote Sensing, 8(4), 355, 2016. [IF(2016)=3.244]
X. Sun, L. Yang, L. Gao, B. Zhang, S. Li, and J. Li. Hyperspectral image clustering method based on artificial bee colony algorithm and Markov random fields. Journal of Applied Remote Sensing, 9(1), 095047, 2015. [IF(2015)=2.246]
J. Li, A. Agathos, D. Zaharie, J. M. Bioucas Dias, A. Plaza, and X. Li, Minimum Volume Simplex Analysis: A Fast Algorithm for Linear Hyperspectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 9, pp. 5067-5082, September 2015. [IF(2015)=3.360] (81 citations in Google Scholar)
J. Li, I. Dopido, P. Gamba and A. Plaza. Complementarity of Discriminative Classifiers and Spectral Unmixing Techniques for the Interpretation of Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 5, pp. 2899-2912, May 2015. [IF(2015)=3.360] (17 citations in Google Scholar)
J. Li, X. Huang, P. Gamba, J. Bioucas, L. Zhang, J. Benediksson, and A. Plaza. Multiple Feature Learning for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol.53, no.3, pp.1592-1606, March 2015. [IF(2015)=3.360] (ESI Highly Cited Paper) (213 citations in Google Scholar)
M. Khodadadzadeh, J. Li*, S. Prasad and A. Plaza. Fusion of Hyperspectral and LiDAR Remote Sensing Data Using Multiple Feature Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 8, no. 6, pp. 2971-2983, June 2015. [IF(2015)=2.145]? (66 citations in Google Scholar)
L. Gao, J. Li*, M. Khodadadzadeh, A. Plaza, B. Zhang, Z. He, and H. Yan. Subspace-Based Support Vector Machines for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters, vol.12, no.2, pp.349-353, Feb. 2015. [IF(2015)=2.228] (70 citations in Google Scholar)
Z. Xue, P. Du, J. Li, and H. Su. Simultaneous Sparse Graph Embedding for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 11, pp. 6114-6133, Nov. 2015. [IF(2015)=3.360] (35 citations in Google Scholar)
Q. Shen, J. Li, F. Zhang, X. Sun, J. Li, W. Li. Classification of Several Optically Complex Waters in China Using in Situ Remote Sensing Reflectance, Remote Sensing, vol. 7, no. 11, pp. 14731-14756, 2015. [IF(2015)=3.036] (19 citations in Google Scholar)
Z. Wu, J. Liu, A. Plaza, J. Li, and Z. Wei. GPU Implementation of Composite Kernels for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters, vol. 12, no. 9, pp. 1973-1977, Sept. 2015. [IF(2015)=2.228] (18 citations in Google Scholar)
P. Du, Z. Xue, J. Li, and A. Plaza. Learning Discriminative Sparse Representations for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Signal Processing, vol. 9, no. 6, pp. 1089-1104, Sept. 2015. [IF(2015)=2.569] (39 citations in Google Scholar)
Z. Wu, Q. Wang, A. Plaza, J. Li, L. Sun, and Z. Wei. Real-Time Implementation of the Sparse Multinomial Logistic Regression for Hyperspectral Image Classification on GPUs. IEEE Geoscience and Remote Sensing Letters, vol. 12, no. 7, pp. 1456-1460, July 2015. [IF(2015)=2.228] (22 citations in Google Scholar)
Z. Wu, Q. Wang, A. Plaza, J. Li, L. Sun and Z. Wei. Parallel Spatial-Spectral Hyperspectral Image Classification with Sparse Representation and Markov Random Fields on GPUs. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 8, no. 6, pp. 2926-2938, June 2015.? [IF(2015)=2.145] (22 citations in Google Scholar)
Z. Wu, Q. Wang, A. Plaza, J. Li, J. Liu and Z. Wei. Parallel Implementation of Sparse Representation Classifiers for Hyperspectral Imagery on GPUs. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 8, no. 6, pp. 2912-2925, June 2015.? [IF(2015)=2.145] (31 citations in Google Scholar)
L. Gao, J. Gao, J. Li, A. Plaza, L. Zhuang, X. Sun, and B. Zhang. Multiple algorithm integration based on ant colony optimization for endmember extraction from hyperspectral imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 8, no. 6, pp. 2569-2582, June 2015.? [IF(2015)=2.145] (22 citations in Google Scholar)
L. Zhuang, B. Zhang, L. Gao, J. Li, and A. Plaza. Normal endmember spectral unmixing method for hyperspectral imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 8, no. 6, pp. 2598-2606, June 2015.? [IF(2015)=2.145] (20 citations in Google Scholar)
J. Liang, X. Liu, K. Huang, X. Li, X. Shi, Y. Chen, and J. Li. Improved snow depth retrieval by integrating microwave brightness temperature and visible/infrared reflectance. Remote Sensing of Environment. 156: 500-509, 2015. [IF(2015)=5.881] (15 citations in Google Scholar)
Y Wu, J. Li, L Gao, X. Tan, and B. Zhang. Graphics processing unit-accelerated computation of the Markov random fields and loopy belief propagation algorithms for hyperspectral image classification. J. Appl. Remote Sens., 9(1), 097295 (2015). doi:10.1117/1.JRS.9.097295. [IF(2015)=0.937]
K. Tan, J. Hu, J. Li, and P. Du. A novel semi-supervised hyperspectral image classification approach based on spatial neighborhood information and classifier combination. ISPRS journal of photogrammetry and remote sensing, 105, 19-29, 2015. [IF(2015)=5.994] (50 citations in Google Scholar)
Z. Xue, J. Li, L. Cheng, and P. Du. Spectral-Spatial Classification of Hyperspectral Image via Morphological Component Analysis Based Image Separation. IEEE Transactions on Geoscience and Remote Sensing, Vol. 53, No. 1, pp 70-84, 2015.?? [IF(2015)=3.360] (48 citations in Google Scholar)
M. Khodadadzadeh, J. Li*, A. Plaza, and J. M. Bioucas-Dias. A Subspace-Based Multinomial Logistic Regression for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters, vol. 11, no. 12, pp. 2105-2109, December 2014. [IF(2014)=2.095] (34 citations in Google Scholar)
M. Khodadadzadeh, J. Li*, A. Plaza, H. Ghassemian, J. M. Bioucas-Dias and X. Li. Spectral-Spatial Classification of Hyperspectral Data Using Local and Global Probabilities for Mixed Pixel Characterization. IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 10, pp. 6298-6314, October 2014. [IF(2014)=3.514](86 citations in Google Scholar)
I. Dopido, J. Li*, A. Plaza and P. Gamba. A New Hybrid Strategy Combining Semi-Supervised Classification and Unmixing of Hyperspectral Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.7, no.8, pp.3619-3629, Aug. 2014. [IF(2014)=3.026] (23 citations in Google Scholar)
A. Agathos, J. Li*, D. Petcu and A. Plaza. Multi-GPU Implementation of the Minimum Volume Simplex Analysis Algorithm for Hyperspectral Unmixing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 6, pp. 2281-2296, June 2014. [IF(2014)=3.026] (30 citations in Google Scholar)
J. Li, P. Gamba, and A. Plaza. A Novel Semi-Supervised Method for Obtaining Finer Resolution Urban Extents Exploiting Coarser Resolution Maps. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.7, no.10, pp.4276,4287, Oct. 2014. [IF(2014)=3.026] (12 citations in Google Scholar)
?B. Song, J. Li, M. Dalla Mura, P. Li, A. Plaza, J. M. Bioucas Dias, J. A. Benediktsson and J. Chanussot. Remotely Sensed Image Classification Using Sparse Representations of Morphological Attribute Profiles. IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 8, pp. 5122-5136, August 2014. [IF(2014)=3.514] (ESI Highly Cited Paper) (168 citations in Google Scholar)
S. Alim, P. Du, S. Liu, J. Li, L.-Ch. Liang. E2LMs: Ensemble Extreme Learning Machines for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.7, no.4, pp.1060-1069, April 2014. [IF(2014)=3.026] (ESI Highly Cited Paper) (133 citations in Google Scholar)
X. Huang, X. Guan, J. A. Benediktsson, L. Zhang, J. Li, A. Plaza and M. Dalla Mura. Multiple Morphological Profiles from Multicomponent Base Images for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, no. 12, pp. 4653-4669, Dec. 2014. [IF(2014)=3.026] (33 citations in Google Scholar)
Q. Guo, B. Zhang, Q. Ran, L. Gao, J. Li, and A. Plaza. Weighted-RXD and Linear Filter-Based RXD: Improving Background Statistics Estimation for Anomaly Detection in Hyperspectral Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 6, pp. 2351-2366, June 2014.? [IF(2014)=3.026] (70 citations in Google Scholar)
B. Zhang, Y. Liu, W. Zhang, L. Gao, J. Li, J. Wang, X. Li. Analysis of the Proportion of Surface Reflected Radiance in Mid-infrared Absorption Bands. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.7, no.6, pp. 2639-2464, June 2014. [IF(2014)=3.026]
Y. Wu, L. Gao, B. Zhang, H. Zhao, and J. Li. Real-time implementation of optimized maximum noise fraction transform for feature extraction of hyperspectral images. Journal of Applied Remote Sensing, 8(1): 084797, 2014. [IF(2014)=1.183] (17 citations in Google Scholar)
L. Gao, Q. Guo, A. Plaza, J. Li, and B. Zhang. Probabilistic anomaly detector for remotely sensed hyperspectral data. Journal of Applied Remote Sensing, 8(1): 083538, 2014. [IF(2014)=1.183] (12 citations in Google Scholar)
L. Ni, L. Gao, S. Li, J. Li, and B. Zhang. Edge-constrained Markov random field classification by integrating hyperspectral image with LiDAR data over urban areas. Journal of Applied Remote Sensing, 8(1): 085089, 2014. [IF(2014)=1.183] (10 citations in Google Scholar)
J. Li, J. M. Bioucas-Dias and A. Plaza. Semi-Supervised Hyperspectral Image Classification Using Soft Sparse Multinomial Logistic Regression. IEEE Geoscience and Remote Sensing Letters, vol.10, no. 2, pp. 318-322, 2013. [IF(2013)=1.809](108 citations in Google Scholar)
J. Li, P. R. Marpu, A. Plaza, J. M. Bioucas-Dias and J. A. Benediktsson. Generalized Composite Kernel Framework for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 51, no. 9, pp. 4816-4829, 2013. [IF(2013)=2.933] (ESI Highly Cited Paper) (341 citations in Google Scholar)
J. Li, J. M. Bioucas-Dias and A. Plaza. Spectral-Spatial Classification of Hyperspectral Data Using Loopy Belief Propagation and Active Learning. IEEE Transactions on Geoscience and Remote Sensing, vol. 51, no. 2, pp. 844-856, 2013. [IF(2013)=2.933] (ESI Highly Cited Paper) (236 citations in Google Scholar)
I. Dopido, J. Li, P. R. Marpu, A. Plaza, J. M. Bioucas-Dias and J. A. Benediktsson. Semi-Supervised Self-Learning for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 51, no. 9, pp. 4032-4044, 2013. [IF(2013)=2.933] (119 citations in Google Scholar)
J. Li, J. Bioucas-Dias and A. Plaza. Spectral-Spatial Hyperspectral Image Segmentation Using Subspace Multinomial Logistic Regression and Markov Random Fields. IEEE Transactions on Geoscience and Remote Sensing, vol. 50, no. 3, pp. 809-823, 2012.? [IF(2012)=3.467] (ESI Highly Cited Paper) (452 citations in Google Scholar)
J. Li, J. Bioucas-Dias and A. Plaza. Hyperspectral Image Segmentation Using a New Bayesian Approach with Active Learning. IEEE Transactions on Geoscience and Remote Sensing.vol.49, no.10, pp.3947-3960, Oct. 2011. [IF(2011)=2.895] (ESI Highly Cited Paper) (324 citations in Google Scholar)
J. Li, J. Bioucas-Dias and A. Plaza. Semi-Supervised Hyperspectral Image Segmentation Using Multinomial Logistic Regression with Active Learning. IEEE Transactions on Geoscience and Remote Sensing, vol. 48, no. 11, pp. 4085-4098, 2010. [IF(2010)=2.485] (ESI Highly Cited Paper) (366 citations in Google Scholar)
J. Li, P. Li. Determination of the Optimal Wavelet Decomposition Level for Hyperspectral Imagery. Progress in Natural Science, Vol. 17, Number 11, pp, 1500-1508. Nov 2007 (in Chinese)
Book chapter
J. Li and A. Plaza. Hyperspectral Image Processing: Methods and Approaches, in Remote Sensing Handbook, Volume I: Data Characterization, Classification and Accuracies. Edited by P. Thenkabail, Taylor and Francis, 2015, ISBN: 978-1-4822-1786-5, pp. 247-258. The total number of words 7176.
Conference papers
C. Liu, J. Li, M. E. Paoletti, J. M. Haut, A. Plaza and Q. Shi. Accessibility-Free Active Learning for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Symposium (IGARSS'19), Yokohama, Japan, 2019.
X. Xu, J. Li, S. Li, M. E. Paoletti, J. M. Haut and A. Plaza. Blind Unmixing of Hyperspectral Imagery Based on Generalized Morphological Content Analysis. IEEE Geoscience and Remote Sensing Symposium (IGARSS'19), Yokohama, Japan, 2019.
Y. Li, C. Liu, L. Yan, J. Li, A. Plaza and B. Li. A New Spatio-Temporal Fusion Method for Remotely Sensed Data Based on Convolutional Neural Networks. IEEE Geoscience and Remote Sensing Symposium (IGARSS'19), Yokohama, Japan, 2019.
S. Zhang, C. Deng, J. Li, S. Wang, F. Li, C. Xu and A. Plaza. Superpixel-Guided Sparse Unmixing for Remotely Sensed Hyperspectral Imagery. IEEE Geoscience and Remote Sensing Symposium (IGARSS'19), Yokohama, Japan, 2019.
Y. Su, J. Li, H. Qi, P. Gamba, A. Plaza and J. Plaza. Multi-Task Learning with Low-Rank Matrix Factorization for Hyperspectral Nonlinear Unmixing. IEEE Geoscience and Remote Sensing Symposium (IGARSS'19), Yokohama, Japan, 2019.
Y. Su, J. Li, A. Plaza, A. Marinoni, P. Gamba and Y. Huang. Deep Auto-Encoder Network for Hyperspectral Image Unmixing. IEEE Geoscience and Remote Sensing Symposium (IGARSS'18), Valencia, Spain, 2018.
X Xu, J. Li, Y Zhang, S Li. A Subpixel Spatial-Spectral Feature Mining for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Symposium (IGARSS'18), Valencia, Spain, 2018.
Y. Yu, W. Wei, J. Li, Y. Zhang. Urban Impervious Surface Estimation Based on the Integration of Remote Sensing Images and Social Media Data. IEEE Geoscience and Remote Sensing Symposium (IGARSS'18), Valencia, Spain, 2018.
Y. Liu, J. Bioucas-Dias, J. Li, A. Plaza. Hyperspectral Cloud Shadow Removal Based on Linear Unmixing. IEEE Geoscience and Remote Sensing Symposium (IGARSS'17), Fort Worth, USA, 2017.
S. Zhang, J. Li, J. Plaza, H-C. Li, A. Plaza. Spatial Weighted Sparse Regression for Hyperspectral Image Unmixing. IEEE Geoscience and Remote Sensing Symposium (IGARSS'17), Fort Worth, USA, 2017.
Y. Liu, J. Bioucas-Dias, J. Li, A. Plaza. Multi-Superpixelization-based Convex Formulation for Joint Classification of Hyperspectral and Lidar Data. IEEE Geoscience and Remote Sensing Symposium (IGARSS'17), Fort Worth, USA, 2017.
H. Liu, L. He, and J. Li. Remote Sensing Image Classification Based on Convolutional Neural Networks with Two-fold Sparse Regularization. IEEE Geoscience and Remote Sensing Symposium (IGARSS'17), Fort Worth, USA, 2017.
Z. He, J. Li, L. Liu. Hyperspectral Classification Based on Kernel Low-rank Multitask Learning. IEEE Geoscience and Remote Sensing Symposium (IGARSS'17), Fort Worth, USA, 2017.
Y. Su, A. Marinoni, J. Li, A. Plaza, and P. Gamba. Nonnegative Sparse Autoencoder for Robust Endmember Extraction from Remotely Sensed Hyperspectral Images. IEEE Geoscience and Remote Sensing Symposium (IGARSS'17), Fort Worth, USA, 2017.
C. Zhu, S. Zhang, J. Plaza, J. Li, and A. Plaza. Impervious Surface Extraction from Multispectral Images Using Morphological Attribute Profiles and Spectral Mixture Analysis. IEEE Geoscience and Remote Sensing Symposium (IGARSS'17), Fort Worth, USA, 2017.
S. Jia, H. Xie, L. Deng, Q. Huang and J. Li. Gabor Feature Based Support Vector Guided Dictionary Learning for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Symposium (IGARSS'17), Fort Worth, USA, 2017.
Y. Sun, J. Li, W. Wang, A. Plaza and Z. Chen. Active Learning Based Autoencoder for Hyperspectral Imagery Classification. IEEE Geoscience and Remote Sensing Symposium (IGARSS'16), Beijing, China, 2016.
X. Xu, J. Li and A. Plaza. Fusion of LiDAR and Hyperspectral Data Using Morphological Component Analysis. IEEE Geoscience and Remote Sensing Symposium (IGARSS'16), Beijing, China, 2016.
M. Khodadadzadeh, L. Bruzzone, J. Li and A. Plaza. A Gaussian Approach to Subspace Based Classification of Hyperspectral Images. IEEE Geoscience and Remote Sensing Symposium (IGARSS'16), Beijing, China, 2016.
Y. Liu, F. Condessa, J. M. Bioucas-Dias, J. Li and A. Plaza. Convex Formulation for Hyperspectral Image Clasisification with Superpixels. IEEE Geoscience and Remote Sensing Symposium (IGARSS'16), Beijing, China, 2016.
S. Zhang, J. Li, Z. Wu and A. Plaza. Sparse Hyperspectral Unmixing with Spatial Discontinuity Preservation. IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'16), Los Angeles, California, 2016.
Z. Wu, Q. Wang, A. Plaza, J. Li, J. Wei and Z. Wei. GPU Implementation of Hyperspectral Image Classification Based on Weighted Markov Random Fields. IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'16), Los Angeles, California, 2016.
A. G. Flores, A. Paz, A. Plaza and J. Li. A New Tool for Unsupervised Classification of Satellite Images Available on Web Servers: Google Maps as a Case Study. SPIE Remote Sensing Europe, High Performance Computing in Remote Sensing Conference, Edinburgh, United Kingdom, 2016.
Y. Sun, X. Zhang, A. Plaza, J. Li, I. Dopido and Y. Liu. A New Semi-Supervised Classification Strategy Combining Active Learning and Spectral Unmixing of Hyperspectral Data. SPIE Remote Sensing Europe, High Performance Computing in Remote Sensing Conference, Edinburgh, United Kingdom, 2016.
Y. Liu, J. Li, A. Plaza, Y. Sun. A Multiple Criteria-Based Spectral Partitioning Method for Remotely Sensed Hyperspectral Image Classification. SPIE Remote Sensing Europe, High Performance Computing in Remote Sensing Conference, Edinburgh, United Kingdom, 2016.
L. I. Jimenez, J. Plaza, A. Plaza and J. Li. Spatial-Spectral Preprocessing for Endmember Extraction on GPUs. SPIE Remote Sensing Europe, High Performance Computing in Remote Sensing Conference, Edinburgh, United Kingdom, 2016.
M. Khodadadzadeh, J. Li, A. Plaza and J. M. Bioucas-Dias. Hyperspectral Image Classification Based on Union of Subspaces. Proceedings of the Joint Urban Remote Sensing Conference (URBAN'15), Lausanne, Switzerland, 2015.
A. Agathos, J. Li, J. M. Bioucas-Dias and A. Plaza. J. Li, J. M. Bioucas-Dias, A. Plaza and L. Liu. Robust Collaborative Nonnegative Matrix Factorization for Hyperspectral Unmixing (R-CoNMF). IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'15), Tokyo, Japan, 2015.
Y. Liu, J. Li and A. Plaza. Class-Oriented Spectral Partitioning for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Symposium (IGARSS'15), Milan, Italy, 2015.
M. Khodadadzadeh, A. Cuartero, J. Li and A. Plaza. Fusion of Hyperspectral and LiDAR Data Using Generalized Composite Kernels: A Case Study in Extremadura, Spain. IEEE Geoscience and Remote Sensing Symposium (IGARSS'15), Milan, Italy, 2015.
Y. Li, Z. Wu, A. Plaza, J. Li, J. Wei, Z. Wei and J. Liu. Fast Principal Component Analysis for Hyperspectral Imaging Based on Cloud Computing. IEEE Geoscience and Remote Sensing Symposium (IGARSS'15), Milan, Italy, 2015.
A. Agathos, J. Li, J. M. Bioucas-Dias and A. Plaza. Robust Minimum Volume Simplex Analysis for Hyperspectral Unmixing. European Signal Processing Conference (EUSIPCO'14), Lisbon, Portugal, 2014. (8 citations in Google Scholar)
M. Khodadadzadeh, J. Li, A. Plaza, P. Gamba, J. A. Benediktsson and J. M. Bioucas-Dias. A New Framework for Hyperspectral Image Classification Using Multiple Spectral and Spatial Features. IEEE Geoscience and Remote Sensing Symposium (IGARSS'14), Quebec City, Canada, 2014. (7 citations in Google Scholar)
Y. Liu, J. Li, A. Plaza, J. M. Bioucas-Dias, P. G. Rodriguez and A. Cuartero. Spectral Partitioning for Hyperspectral Remote Sensing Image Classification. IEEE Geoscience and Remote Sensing Symposium (IGARSS'14), Quebec City, Canada, 2014. (5 citations in Google Scholar)
J. Li, Y. Liu, A. Plaza and P. Du. Decision Fusion Based on Extended Spectrometer-Driven Spectral Partitioning for Hyperspectral Image Classification. IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'14), Lausanne, Switzerland, 2014
M. Khodadadzadeh, J. Li A. Plaza, H. Ghassemian and J. M. Bioucas-Dias. Spectral-Spatial Classification for Hyperspectral Data Using SVM and Subspace MLR. IEEE Geoscience and Remote Sensing Symposium (IGARSS'13), Melbourne, Australia, 2013
B. Song, J. Li P. Li and A. Plaza. Decision Fusion Based on Extended Multi-Attribute Profiles for Hyperspectral Image Classification. IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'13), Gainesville, Florida, 2013
I. Dopido, J. Li A. Plaza and P. Gamba. Semi-Supervised Classification of Urban Hyperspectral Data Using Spectral Unmixing Concepts. Proceedings of the Joint Urban Remote Sensing Conference (URBAN'13), Sao Paulo, Brazil, 2013
I. Dopido, J. Li, P. Gamba and A. Plaza. Semi-Supervised Classification of Hyperspectral Data Using Spectral Unmixing Concepts. Tyrrhenian Workshop 2012 on Advances in Radar and Remote Sensing, Naples, Italy, 2012. (6 citations in Google Scholar)
J. Li, J. Bioucas-Dias and A. Plaza. Semi-Supervised Discriminative Random Field for Hyperspectral Image Classification. IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'12), Shanghai, China, 2012. (6 citations inGoogle Scholar)
I. Dopido, J. Li, J. Bioucas-Dias and A. Plaza. A New Semi-Supervised Approach for Hyperspectral Image Classification with Different Active Learning Strategies. IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'12), Shanghai, China, 2012. (7 citations in Google Scholar)
J. Li, J. Bioucas-Dias and A. Plaza. Nonnegative Matrix Factorization with Collaborativity for Hyperspectral Unmixing. IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'12), Shanghai, China, 2012.
J. Li, J. Bioucas-Dias and A. Plaza. Collaborative Nonnegative Matrix Factorization for Remotely Sensed Hyperspectral Unmixing. IEEE Geoscience and Remote Sensing Symposium (IGARSS'12), Munich, Germany, 2012. (11 citations in Google Scholar)
I. Dopido, J. Li, A. Plaza and J. Bioucas-Dias. Semi-Supervised Active Learning for Urban Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Symposium (IGARSS'12), Munich, Germany, 2012. (6 citations in Google Scholar)
I. Dopido, J. Li and A. Plaza. Semi-Supervised Active Learning Approach for Hyperspectral Image Classification: Application to Multinomial Logistic Regression and Support Vector Machines. SPIE Optics and Photonics, Satellite Data Compression, Communication, and Processing Conference, San Diego, CA, 2012.
J. Li, J. Bioucas-Dias and A. Plaza. Semi-Supervised Hyperspectral Image Classification Using a New (Soft) Sparse Multinomial Logistic Regression Model. IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'11), Lisbon, Portual, 2011.
A. Villa, J. Li, A. Plaza and J. Bioucas-Dias. A New Semi-Supervised Algorithm for Hyperspectral Image Classification Based on Spectral Unmixing Concepts. IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'11), Lisbon, Portual, 2011.
J. Li, J. Bioucas-Dias and A. Plaza. A New Subspace Discriminant Analysis Approach for Supervised Hyperspectral Image Classification. IEEE International Geoscience and Remote Sensing Symposium (IGARSS'11), Vancouver, Canada, 2011.
J. Li, A. Plaza and J. Bioucas-Dias. Integration of Hyperspectral Image Classification and Unmixing for Active Learning. International Symposium on Image and Data Fusion, Tengchong, China, 2011.
J. Li, J. Bioucas-Dias, and Antonio Plaza. Supervised Hyperspectral image segmentation using active learning. IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'10), Reykjavik, Iceland, 2010. (13 citations in Google Scholar)
J. Li, J. Bioucas-Dias and A. Plaza. Exploiting spatial information in semi-supervised hyperspectral image segmentation. IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'10), Reykjavik, Iceland, 2010. ?(13 citations in Google Scholar)
J. Li, J. Bioucas-Dias, and Antonio Plaza. Semi-supervised hyperspectral image segmentation. IEEE GRSS Workshop on Hyperspectral Image and Signal Processing (WHISPERS'09), Grenoble, France, 2009. (20 citations in Google Scholar)
J. Li, J. Bioucas-Dias, and Antonio Plaza. Semi-supervised hyperspectral classification and segmentation with discriminative learning. SPIE Europe Remote Sensing, Berlin Germany, 2009. (5 citations in Google Scholar)
J. Li, J. Bioucas-Dias, and Antonio Plaza. Semi-supervised hyperpsectral imge classification based on a Markov random field and sparse multinomial logistic regression. IEEE International Geoscience and Remote sensing Symposium (IGARSS'09), Cape Town, South Africa, 2009. ?(15 citations in Google Scholar)
J. Li, J. Bioucas-Dias, and Antonio Plaza. Hyperspectral image classification based on a fast Bregman sparse multinomial logistic regression algorithm. 6th EARSeL SIG IS Workshop'2009, Tel- Aviv, Israel, 2009.
J. Li, J. Bioucas-Dias. Minimum volume simplex analysis: a fast algorithm to unmix hyperspectral data. IEEE International Geoscience and Remote sensing Symposium (IGARSS'08), Boston, USA, 2008.?? (322 citations in Google Scholar) – One of the most highly cited papers in the history of IGARSS.