直属机构： 地理科学学院
学科：
10 访问
相关教师
个人资料
部门： 地理科学学院
性别： 男
专业技术职务： 教授
毕业院校： 中国矿业大学
学位： 博士
学历： 研究生
联系电话：
电子邮箱： tankuncu@126.com
办公地址： 闵行河口楼
通讯地址： 上海市东川路500号华东师范大学地理科学学院
邮编： 200241
传真：
教育经历
2008/09 - 2009/09，美国哥伦比亚大学，国际地球科学信息网络研究中心，联合培养博士
2005/09 - 2010/07，中国矿业大学，环境测绘学院，获得博士学位
工作经历
2018-至今 地理信息科学教育部重点实验室，华东师范大学
2010 - 2018 中国矿业大学，环境测绘学院
个人简介
谭琨，湖南衡阳人，博士，博士后，教授、博士生导师，国土环境与灾害监测国家测绘地理信息局重点实验室副主任（2016-2018），IEEE Senior Member，遥感顶级期刊ISPRS Journal of Photogrammetry and Remote Sensing编委（2017-），中国测绘学会摄影测量与遥感委员会委员，中国地质学会遥感地质委员会委员，中国遥感协会高光谱遥感委员会委员。2010年6月获中国矿业大学“摄影测量与遥感”学科博士学位，2011年到2015年在中国矿业大学“控制科学与工程”进行在职博士后研究；2008年到2009年美国哥伦比亚大学联合培养博士，2014年-2015年西班牙埃斯特雷马杜拉大学访问****（国家留学基金委员会全额资助）。过去十几年来，围绕高光谱遥感智能处理和矿区环境反演问题开展了深入的研究。在遥感分类方面，提出了改进的支持向量机模型分类器、半监督分类模型、矿区土壤污染反演模型等机器学习的地物分类和反演方法；在半监督遥感分类方面，系统构建了协同处理的半监督分类的理论与方法；取得的创新性成果已应用于高光谱遥感数据处理领域，以及在矿区环境监测和分析中得到较广泛应用。
发表论文100余篇，其中SCI检索46篇（第一作者/通讯作者38篇），EI检索40篇，出版专著5部（第一作者2部，第二作者2部）。获得软件著作权10项，主持科研项目10余项，包括国家自然科学基金面上2项、青年1项。中国地理信息科学三等奖两项、江苏省科技进步奖、河北省科技进步奖、中国顶尖学术论文F5000奖两项、江苏省青年遥感与地理信息科技奖等奖励，荣获江苏省优秀博士论文。培养的学生荣获江苏省优秀硕士论文两项和江苏省高校测绘类优秀硕士学位一等奖三项。
团队主页：http://www.3sobs.com/portal.php
社会兼职
ISPRS Journal of Photogrammetry and Remote Sensing编委
美国电气与电子工程师协会IEEE Senior Member
中国测绘学会摄影测量与遥感委员会委员
中国地质学会遥感地质委员会委员
研究方向
欢迎对高光谱遥感、高分辨率遥感、环境遥感等研究方向感兴趣的同学报考我们团队的硕士和博士研究生！欢迎取得博士学位的青年科研人员进入我们研究团队进行博士后研究！
研究团队网站：
http://www.3sobs.com/portal.php
?高光谱遥感
?遥感反演及应用
?AI遥感影像处理
?环境遥感和地学应用
开授课程
环境遥感
高光谱遥感
测绘工程前沿与项目管理
环境遥感与应用
人工智能的数学方法
科研项目
主要科研项目：
起止年月
科研项目、课题名称
项目来源及类别
2019-2022 基于半监督决策森林的高光谱遥感土壤质量监测 国家自然科学基金
2015-2018
基于多视图协同训练的高光谱遥感影像分类
国家自然科学基金
2012-2014
基于半监督多核SVM和混合特征集的高光谱遥感影像分类
国家自然科学基金
2013-2014
多源高光谱传感器数据融合的农作物污染弱信息提取
中国博士后特别资助
2012-2013
基于Headwall高光谱成像仪的土壤重金属分布和农作物污染评估的研究
中国博士后一等资助
2014-2016
煤矿区环境损伤遥感监测与智能识别
重大项目培育专项
2014-2016
基于并行遥感的半监督支持向量机的高光谱影像分类研究
中央高校基本科研业务费
2011-2012
煤田自燃灾害的遥感信息的提取研究
国土环境与灾害监测国家测绘局重点实验室基金
2011-2012
基于多源多时相遥感影像的城市灾害变化检测研究
现代工程测量国家测绘地理信息局重点实验室
2011-2012
基于多核支持向量机的高光谱遥感影像分类研究
地理空间信息工程国家测绘局重点实验室
学术成果
REFEREED JOURNAL PAPERSK. Tan, C. Niu, X. Jia, D. Ou, Y. Chen, and S. Lei, Complete and accurate data correction for seamless mosaicking of airborne hyperspectral images: A case study at a mining site in Inner Mongolia, China, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 165, no. 7, pp. 1-15, 2020.Complete and accurate data correction for seamless mosaicking of airborne hypers.pdf
K. Tan, H. Wang, L. Chen, Q. Du, P. Du, C. Pan, Estimation of the spatial distribution of heavy metal in agricultural soils using airborne hyperspectral imaging and random forest, Journal of Hazardous Materials, 382 (2020) 120987.Estimation of the spatial distribution of heavy metal in agricultural soils.pdf
M. Wang,K. Tan, X. Jia, X. Wang, and Y. Chen, A Deep Siamese Network with Hybrid Convolutional Feature Extraction Module for Change Detection Based on Multi-sensor Remote Sensing Images, Remote Sens., vol. 12, no. 2, p. 205, 2020.A Deep Siamese Network with Hybrid Convolutional Feature Extraction Module for C.pdf
X. Wang,K. Tan, Q. Du, Y. Chen, and P. Du, CVA2E: A Conditional Variational Autoencoder With an Adversarial Training Process for Hyperspectral Imagery Classification, IEEE Transactions on Geoscience and Remote Sensing, 2020.CVAE A Conditional Variational Autoencoder.pdf
H.Wang,K. Tan, F. Wu, Y.Chen, L. Chen, Study of the Retrieval and Adsorption Mechanism of Soil Heavy Metals Based on Spectral Absorption Characteristics. Spectroscopy and Spectral Analysis 2020, 40, (1), 316-323.Study of the Retrieval and Adsorption Mechanism of Soil Heavy Metals Based on Sp.pdf
X. Wang,K. Tan, K. Xu, Y. Chen, J. Ding, Quantitative Evaluation of the Eco-Environment in a Coalfield Based on Multi-Temporal Remote Sensing Imagery: A Case Study of Yuxian, China, Int. J. Environ. Res. Public Health, 16 (2019) 511.Quantitative Evaluation of the Eco-Environment in a Coalfield Based on Multi-Tem.pdf
X. Wang,K. Tan, Q. Du, Y. Chen, P. Du, Caps-TripleGAN: GAN-Assisted CapsNet for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, 57 (2019) 7232-7245.Caps-TripleGAN.pdf
K. Tan, Y. Zhang, X. Wang, Y. Chen, Object-Based Change Detection Using Multiple Classifiers and Multi-Scale Uncertainty Analysis, Remote Sens., 11 (2019) 359.Object-Based Change Detection Using Multiple Classifiers and Multi-Scale Uncerta.pdf
K. Tan, F. Wu, Q. Du, P. Du, Y. Chen, A Parallel Gaussian–Bernoulli Restricted Boltzmann Machine for Mining Area Classification With Hyperspectral Imagery, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12 (2019) 627-636.A Parallel Gaussian–Bernoulli Restricted Boltzmann Machine for Mining Area Clas.pdf
k. Tan, W. Ma, F. Wu, Q. Du, Randomforest–based estimation of heavy metal concentration in agricultural soils with hyperspectral sensor data, Environmental Monitoring and Assessment, 191 (2019) 446.RandomForestBasedEstimationOfH.pdf
K. Tan, Z. Hou, F. Wu, Q. Du, Y. Chen, Anomaly Detection for Hyperspectral Imagery Based on the Regularized Subspace Method and Collaborative Representation, Remote Sens., 11 (2019) 1318.Anomaly Detection for Hyperspectral Imagery Based on the Regularized Subspace Method.pdf
D. Ou,K. Tan, Q. Du, J. Zhu, X. Wang, Y. Chen, A Novel Tri-Training Technique for the Semi-Supervised Classification of Hyperspectral Images Based on Regularized Local Discriminant Embedding Feature Extraction, Remote Sens., 11 (2019).A Novel Tri-Training Technique for the Semi-Supervised Classification of Hypersp.pdf
Y. Chen,K. Tan, S. Yan, K. Zhang, H. Zhang, X. Liu, H. Li, Y. Sun, Monitoring Land Surface Displacement over Xuzhou (China) in 2015–2018 through PCA-Based Correction Applied to SAR Interferometry, Remote Sens., 11 (2019) 1494.Monitoring Land Surface Displacement over Xuzhou (China) in 2015–2018 through P.pdf
K. Tan,Y. Zhang, Q. Du, P. Du, X. Jin, J.Y. Li, Change Detection based on Stacked Generalization System with Segmentation Constraint, Photogrammetric Engineering and Remote Sensing, 84 (2018) 733-741.Change Detection based on Stacked Generalization System with Segmentation Constraint.pdf
K. Tan, X. Wang, J. Zhu, J. Hu, J. Li, A novel active learning approach for the classification of hyperspectral imagery using quasi-Newton multinomial logistic regression, International Journal of Remote Sensing, 39 (2018) 3029-3054.A novel active learning approach for the classification of hyperspectral imagery.pdf
K. Tan, H. Wang, Q. Zhang, X. Jia, An improved estimation model for soil heavy metal(loid) concentration retrieval in mining areas using reflectance spectroscopy, Journal of Soils and Sediments, 18 (2018) 2008-2022.Tan_et_al-2018-Journal_of_Soils_and_Sediments.pdf
C.-c. Pan, Q.-w. Yan, J.-w. Ding, Q.-q. Zhang,K. Tan, Atmospheric Correction of Airborne Hyperspectral Image Based on Fruit Fly-Powell Optimization Algorithm, Spectroscopy and Spectral Analysis, 38 (2018) 224-234.基于果蝇-鲍威尔优化的航空高光谱影像大气校正方法.pdf
D. Ou,K. Tan, Q. Du, Y. Chen, J. Ding, Decision Fusion of D-InSAR and Pixel Offset Tracking for Coal Mining Deformation Monitoring, Remote Sens., 10 (2018) 1-18.Decision Fusion of D-InSAR and Pixel Offset Tracking for Coal Mining Deformation.pdf
K. Tan, Z. Liao, P. Du, L. Wu, Land surface temperature retrieval from Landsat 8 data and validation with geosensor network, Frontiers of Earth Science, 11 (2017) 20-34.Land surface temperature retrieval from Landsat 8 data and validation with geose.pdf
X. Wang,K. Tan, B. Chen, P. Du, Assessing the Spatiotemporal Variation and Impact Factors of Net Primary Productivity in China, Scientific Reports, 7 (2017) 44415.NPP-2017-Scientific_Reports.pdf
K. Tan, J. Zhu, Q. Du, L. Wu, P. Du, A Novel Tri-Training Technique for Semi-Supervised Classification of Hyperspectral Images Based on Diversity Measurement, Remote Sens., 8 (2016) 749.A Novel Tri-Training Technique for Semi-Supervised Classification of Hyperspectr.pdf
J. Zhu, S. Tian,K. Tan, P. Du, Human Settlement Analysis Based on Multi-temporal Remote Sensing Data: A Case Study of Xuzhou City, China, Chinese Geographical Science, 26 (2016) 389-400.Human Settlement Analysis Based on Multi-temporal Remote Sensing Data- A Case St.pdf
K. Tan,J. Xiao, A. Plaza, X. Wang, L. Xiao, P. Du, Automatic Change Detection in High-Resolution Remote Sensing Images by Using a Multiple Classifier System and Spectral&Spatial Features, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9 (2016) 3439-3451.Automatic Change Detection in High-Resolution Remote Sensing Images by Using a M.pdf
K. Tan, J. Zhang, Q. Du, and X. Wang, GPU Parallel Implementation of Support Vector Machines for Hyperspectral Image Classification,Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of,vol. 8, pp. 4647- 4656, 2015.(SCI,EI)GPU-SVM.pdf
K. Tan, S. Zhou, and Q. Du, Semisupervised Discriminant Analysis for Hyperspectral Imagery With Block-Sparse Graph,IEEE Geoscience and Remote Sensing Letters,vol. 12, pp. 1765-1769, Aug 2015.(SCI,EI)Semisupervised Discriminant Analysis for Hyperspectral Imagery With Block-Sparse.pdf
K. Tan,S. Zhou, E. Li, and P. Du, Assessing the impact of urbanization on net primary productivity using multi-scale remote sensing data: a case study of Xuzhou, China,Frontiers of Earth Science,vol. 9, pp. 319-329, 2014/09/09 2015.(SCI)Assessing the impact of urbanization on net primary productivity using multi-sca.pdf
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,vol. 105, pp. 19-29, 7 2015.(SCI,EI)A novel semi-supervised hyperspectral image classification approach .pdf
K. Tan, E. Li, Q. Du, and P. Du, An efficient semi-supervised classification approach for hyperspectral imagery, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 97, pp. 36-45, 11// 2014. (SCI,EI)An efficient semi-supervised classification approach for hyperspectral imagery.pdf
K. Tan, E. Li, Q. Du, and P. Du, Hyperspectral Image Classification Using Band Selection and Morphological Profiles, Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, vol. 7, pp. 40-48, 2014. (SCI,EI)Hyperspectral Image Classification Using Band Selection and Morphological Profiles.pdf
K. Tan, Y. Ye, and P. Du, Estimation of Arsenic Contamination in Reclaimed Agricultural Soils Using Reflectance Spectroscopy and ANFIS Model, Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, vol. 7, pp. 2540-2546, 2014. (SCI,EI)Estimation of Arsenic Contamination in Reclaimed Agricultural Soils Using Reflec.pdf
K. Tan, X. Jin, Q. Du and P. J. Du, Modified multiple endmember spectral mixture analysis for mapping impervious surfaces in urban environments, Journal of Applied Remote Sensing,vol. 8, 085096-1 -16(2014)(SCI)Modified multiple endmember spectral mixture analysis for mapping impervious sur.pdf
K. Tan, Y. Y. Ye, P. J. Du and Q. Q. Zhang, Estimation of Heavy Metal Concentrations in Reclaimed Mining Soils Using Reflectance Spectroscopy, Spectroscopy and Spectral Analysis34(12), 3317-3322 (2014)(SCI,EI)Estimation of Heavy Metal Concentrations in Reclaimed Mining Soils Using Reflect.pdf
Conference papersK. Tan, J. Zhang, and P. Du, Research on net primary productivity and soil organic carbon pool in the coal mining area of Xuzhou, in 2nd International Workshop on Earth Observation and Remote Sensing Applications, EORSA 2012, June 8, 2012 - June 11, 2012, Shanghai, China, 2012, pp. 64-68.
K. Tan, E. Li, and D. Peijun, Estimation of net primary productivity using multi-scale remote sensing data in Xuzhou, China, in 2nd International Workshop on Earth Observation and Remote Sensing Applications, EORSA 2012, June 8, 2012 - June 11, 2012, Shanghai, China, 2012, pp. 69-72.
K. Tan, E. Li, and P. Du, Hyperspectral image classification using band selection and morphological profile, in 4nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2012, June 4, 2012 - June 7, 2012, Shanghai, China, 2012.
K. Tanand P. Du, Classification of hyperspectral image based on morphological profiles and multi-kernel SVM, in 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010, June 14, 2010 - June 16, 2010, Reykjavik, Iceland, 2010.
K. Tanand P. Du,. Hyperspectral Remote Sensing Image Classification Based on Radical Basis Function Neural Network, Proceedings of the International Workshop on Geospatial Information Technologies and Their Environmental Applications (GeoTEA).
Books谭琨，杜培军等，高光谱遥感影像的协同训练与半监督分类，科学出版社，2019，03
杜培军，夏俊士，苏红军，谭琨等，遥感多分类器集成方法与应用，科学出版社，2019,11
谭琨，高光谱遥感影像半监督分类研究，中国矿业大学出版社，2014
杜培军，谭琨，高光谱遥感影像分类与支持向量机应用研究，科学出版社，2012，03
杜培军，谭琨，城市环境遥感方法与实践，科学出版社，2013，06
荣誉及奖励
