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电子科技大学资源与环境学院导师教师师资介绍简介-陈奋

本站小编 Free考研考试/2021-09-12


姓名:陈奋 性别: 学历:博士
职称:副教授 职务: 系别:空间信息与数字技术系
科研团队:资源环境信息技术及应用
E-mail:chenfen@uestc.edu.cn
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性别 男 学历 博士
职称 副教授 职务
xbb 空间信息与数字技术系 科研团队 资源环境信息技术及应用
E-mail chenfen@uestc.edu.cn 电话
ACADEMIC QUALIFICATIONS ACADEMIC APPOINTMENTS
TEACHING FIELDS PROFESSIONAL ACTIVITIES
PUBLICATIONS

研 究 方 向:
遥感图像处理

教育工作背景:
本科:1996.9 --- 2000.7, 武汉测绘科技大学 硕士:2000.9 --- 2002.7, 武汉大学 博士:2003.9 --- 2006.7, 中国科学院遥感应用研究所

科 研 成 果:
Selected Publications:
[1] F. Chen, K. Wang, T. Van deVoorde, T. Tang, “Mapping urban land cover from high spatial resolutionhyperspectral data: An approach based on simultaneously unmixing similar pixelswith jointly sparse spectral mixture analysis”, Remote Sensing of Environment,vol. 196, no. 7, pp. 324-342, Jul. 2017.
[2] F.Chen, P. Zhao, T. Tang, and Y. Zhou, “Fast low-rank decomposition model-based hyperspectralimage classification method”, IEEE Geoscience and Remote Sensing Letters, vol. 14,
no. 2, pp. 169-173, Feb.2017.
[3] F.Chen, K. Wang, and T. Tang, “Spectral unmixing using a sparse multiple-endmemberspectral mixture model,” IEEE Transactions on Geoscience and Remote Sensing, vol.54, no. 10, pp. 5846-5861, Oct. 2016.
[4] F.Chen, T. Tang, and K. Wang, “Low-rank decomposition model for adaptive identification
of similar neighboring pixels in hyperspectral images,” IEEE Geoscience and RemoteSensing Letters, vol. 13, no. 2, pp.172-176, Feb. 2016.
[5] Fe.Chen, T. Tang, and K. Wang, “Sparse smoothing preprocessing of hyperspectralimages for improved classification performance,” Remote Sensing Letters, vol.6, no. 4, pp. 276-285, Apr. 2015.
[6] F.Chen, K. Wang, and T. Tang, “Hyperspectral image unmixing using a sparse Bayesianmodel,” Remote Sensing Letters, vol. 5, no. 7, pp. 642–651, Jul. 2014.
[7] X.Liu, F. Chen*, “Automatic segmentation of 3-d brain mr images by using global tissue
spatial structure,” IEEE Transactions on Applied Superconductivity, vol. 24, no.5, pp. 1-5, Oct. 2014.
[8] F.Chen, Y. Zhang, “Sparse hyperspectral unmixing based on constrained ?p??2optimization”, IEEE Geoscience and Remote Sensing Letters, vol. 10, no. 5, pp. 1142-1146,Sep. 2013.
[9] F.Chen, J. Ma, J. C-W. Chan, and D. Yan, “Quantitative measurement for thehomogeneity and contrast of the step edges in satellite image point spreadfunction estimation,” International Journal of Remote Sensing, vol. 32, no. 22,pp. 7179-7201, Nov. 2011.
[10]F.Chen, X. Huang, and W. Chen, “Texture-preserving image deblurring,” IEEE SignalProcessing Letters, vol. 17, no. 12, pp. 1018-1021, Dec. 2010.
[11]F.Chen, and J. Ma, “An empirical identification method of gaussian blur parameterfor image deblurring,” IEEE Transactions on Signal Processing, vol. 57, no. 7,pp. 2467-2478, July 2009.




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