谭琨

2005-2010  中国矿业大学   摄影测量与遥感   硕博连读

2008-2009  美国哥伦比亚大学 摄影测量与遥感  联合培养博士

2018-至今  华东师范大学地理科学学院

详见课题组：https://www.3sobs.cn/

谭琨，湖南衡阳人，博士，教授、博士生导师，2021年入选国家高层次青年人才计划。自然资源部超大城市自然资源时空大数据应用重点实验室副主任，IEEE Senior Member，遥感顶级期刊International Journal of Applied Earth Observation and Geoinformation副主编（2023-）、ISPRS Journal of Photogrammetry and Remote Sensing编委（2017-），入选美国斯坦福大学与爱思唯尔“全球前2%顶尖科学家榜单”，国际数字地球学会中国国家委员会成像光谱对地观测专业委员会副主任委员、中国测绘学会摄影测量与遥感委员会委员，中国地理信息产业协会理论与方法委员会委员、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、定量遥感委员会委员。2010年6月获中国矿业大学“摄影测量与遥感”学科博士学位，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学者。

过去十几年来，围绕高光谱遥感智能处理和城市环境遥感问题开展了深入的研究。在遥感辐射校正、遥感智能分类和变化检测、高光谱遥感定量反演等方面取得了一系列成果。发表论文100余篇，其中SCI检索73篇（第一作者/通讯作者60篇），EI检索50余篇，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20余项，主持科研项目20余项，包括国家人才项目1项，国家自然科学基金4项、上海市重点项目2项，其他省部级项目10余项。获得教育部高等学校科学研究优秀成果二等奖、中国地理信息协会地理信息科技进步一等奖、中国精品科技期刊顶尖学术论文F5000论文奖三项、中国高校GIS创新人物等奖励，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、江苏省高校测绘类优秀硕士学位一等奖三项、华东师范大学专业学位硕士优秀学位论文一项。

International Journal of Applied Earth Observation and Geoinformation副主编

ISPRS Journal of Photogrammetry and Remote Sensing编委

国际数字地球学会中国国家委员会成像光谱对地观测专业委员会副主任委员

中国测绘学会摄影测量与遥感委员会委员

中国地理信息产业协会理论与方法委员会委员

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、定量遥感委员会委员

• 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

主要科研项目

REFEREED JOURNAL PAPERS（详见：https://www.3sobs.cn/）

• K. 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, Random forest–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

专著

• 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，2018，12

• 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