谭琨，湖南衡阳人，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，在遥感数据预处理方面，围绕国内高光谱遥感卫星高分五号和资源一号2D建立了结合敦煌试验场的辐射校正体系和大气校正模型，提出了基于BRDF模型高光谱遥感数据的质量提升算法；在遥感影像智能解译方面，围绕小样本学习、半监督深度学习，提出了系列基于生成对抗、胶囊网络、全卷积结构、Transformer结构的地物分类、变化检测、异常探测模型；在定量遥感方面，提出了辐射传输机理建模与数据驱动协同反演机制，构建了土壤、水体的环境质量高光谱遥感反演模型。取得的创新性成果已应用于遥感信息处理领域，以及在长三角地区、东北黑土地区和超大城市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。 教育经历 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 工作经历 2018-至今 华东师范大学地理科学学院

高光谱遥感 遥感信息智能AI处理 遥感定量反演及应用 环境遥感和地学应用

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

Niu C, Tan K, Wang X, et al. A semi-analytical approach for estimating inland water inherent optical properties and chlorophyll a using airborne hyperspectral imagery[J]. International Journal of Applied Earth Observation and Geoinformation, 2024, 128: 103774. Chen L, Tan K, Wang X, et al. A rapid soil Chromium pollution detection method based on hyperspectral remote sensing data[J]. International Journal of Applied Earth Observation and Geoinformation, 2024, 128: 103759. Wang M, Li X, Tan K, et al. Position-aware graph-CNN fusion network: an integrated approach combining geospatial information and graph attention network for multi-class change detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024. Zhang Y, Shen F, Sun X, Tan K. Marine big data-driven ensemble learning for estimating global phytoplankton group composition over two decades (1997–2020)[J]. Remote Sensing of Environment, 2023, 294: 113596. Tan K, Chen L, Wang H, et al. Estimation of the distribution patterns of heavy metal in soil from airborne hyperspectral imagery based on spectral absorption characteristics[J]. Journal of Environmental Management, 2023, 347: 119196. Ou D, Tan K, Li J, et al. Prediction of soil organic matter by Kubelka-Munk based airborne hyperspectral moisture removal model[J]. International Journal of Applied Earth Observation and Geoinformation, 2023, 124: 103493. Wang Z, Wang X, Tan K, et al. Hyperspectral anomaly detection based on variational background inference and generative adversarial network[J]. Pattern Recognition, 2023, 143: 109795. Ji R, Tan K, Wang X, et al. PASSNet: A Spatial-Spectral Feature Extraction Network with Patch Attention Module for Hyperspectral Image Classification[J]. IEEE Geoscience and Remote Sensing Letters, 2023. Wu F, Tan K, Wang X, et al. A novel semi-empirical soil multi-factor radiative transfer model for soil organic matter estimation based on hyperspectral imagery[J]. Geoderma, 2023, 437: 116605. Wang X, Yan X, Tan K, et al. Double U-Net (W-Net): A change detection network with two heads for remote sensing imagery[J]. International Journal of Applied Earth Observation and Geoinformation, 2023, 122: 103456. Liu X, Chen Y, Wang C, Tan K, et al. A lightweight building instance extraction method based on adaptive optimization of mask contour[J]. International Journal of Applied Earth Observation and Geoinformation, 2023, 122: 103420. Wang X, Tan K, Du P, et al. A capsule-vectored neural network for hyperspectral image classification[J]. Knowledge-Based Systems, 2023, 268: 110482. Wu F, Tan K, Wang X, et al. A semi-analytical radiative transfer model for explaining soil spectral features[J]. International Journal of Applied Earth Observation and Geoinformation, 2023, 118: 103250. Zhao L, Tan K, Wang X, et al. Hyperspectral Feature Selection for SOM Prediction Using Deep Reinforcement Learning and Multiple Subset Evaluation Strategies[J]. Remote Sensing, 2022, 15(1): 127. Wang X, Du J, Tan K, et al. A high-resolution feature difference attention network for the application of building change detection[J]. International Journal of Applied Earth Observation and Geoinformation, 2022, 112: 102950. Ou D, Tan K, Wang X, et al. Modified soil scattering coefficients for organic matter inversion based on Kubelka-Munk theory[J]. Geoderma, 2022, 418: 115845. Wang X, Tan K, Pan C, et al. Active deep feature extraction for hyperspectral image classification based on adversarial learning[J]. IEEE Geoscience and Remote Sensing Letters, 2022, 19: 1-5. Chen L, Lai J, Tan K, et al. Development of a soil heavy metal estimation method based on a spectral index: Combining fractional-order derivative pretreatment and the absorption mechanism[J]. Science of The Total Environment, 2022, 813: 151882. Wang X, Tan K, Du P, et al. A unified multiscale learning framework for hyperspectral image classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-19. Wambugu N, Chen Y, Xiao Z, Tan K, et al. Hyperspectral image classification on insufficient-sample and feature learning using deep neural networks: A review[J]. International Journal of Applied Earth Observation and Geoinformation, 2021, 105: 102603. Niu C, Tan K, Wang X, et al. Radiometric cross-calibration of the ZY1-02D hyperspectral imager using the GF-5 AHSI imager[J]. IEEE Transactions on Geoscience and Remote Sensing, 2021, 60: 1-12. Ji R, Tan K, Wang X, et al. Spatiotemporal monitoring of a grassland ecosystem and its net primary production using Google Earth Engine: A case study of inner mongolia from 2000 to 2020[J]. Remote Sensing, 2021, 13(21): 4480. Tan K, Jia X, Plaza A. Special Section Guest Editorial: Satellite Hyperspectral Remote Sensing: Algorithms and Applications[J]. Journal of Applied Remote Sensing, 2021, 15(4): 042601-042601. Wu F, Wang X, Liu Z, Ding J, Tan K, et al. Assessment of heavy metal pollution in agricultural soil around a gold mining area in Yitong County, China, based on satellite hyperspectral imagery[J]. Journal of Applied Remote Sensing, 2021, 15(4): 042613-042613. Niu C, Tan K, Jia X, et al. Deep learning based regression for optically inactive inland water quality parameter estimation using airborne hyperspectral imagery[J]. Environmental Pollution, 2021, 286: 117534. Zhang J, Jia X, Hu J, Tan K,et al. Moving vehicle detection for remote sensing video surveillance with nonstationary satellite platform[J]. IEEE Transactions on pattern analysis and machine intelligence, 2021, 44(9): 5185-5198. Ou D, Tan K, Lai J, et al. Semi-supervised DNN regression on airborne hyperspectral imagery for improved spatial soil properties prediction[J]. Geoderma, 2021, 385: 114875. Tan K, Ma W, Chen L, et al. Estimating the distribution trend of soil heavy metals in mining area from HyMap airborne hyperspectral imagery based on ensemble learning[J]. Journal of Hazardous Materials, 2021, 401: 123288. Chen Y, Tong Y, Tan K. Coal mining deformation monitoring using SBAS-InSAR and offset tracking: A case study of Yu County, China[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13: 6077-6087. Wu F, Wang X, Tan K, et al. Assessment of Heavy Metal Pollution in Agricultural Soil Around a Gold Mine Area in Yitong County[C]//IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2020: 5034-5037. Tan K, Wang X, Niu C, et al. Vicarious calibration for the AHSI instrument of Gaofen-5 with reference to the CRCS Dunhuang test site[J]. IEEE Transactions on Geoscience and Remote Sensing, 2020, 59(4): 3409-3419. Zhang Y, Tan K, Wang X, et al. Retrieval of soil moisture content based on a modified Hapke Photometric model: A novel method applied to laboratory hyperspectral and Sentinel-2 MSI data[J]. Remote Sensing, 2020, 12(14): 2239. Tan K, Niu C, Jia X, et al. Complete and accurate data correction for seamless mosaicking of airborne hyperspectral images: A case study at a mining site in Inner Mongolia, China[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2020, 165: 1-15. Du P, Bai X, Tan K, et al. Advances of four machine learning methods for spatial data handling: A review[J]. Journal of Geovisualization and Spatial Analysis, 2020, 4: 1-25. Wang X, Tan K, Du Q, et al. CVA 2 E: a conditional variational autoencoder with an adversarial training process for hyperspectral imagery classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(8): 5676-5692. Tan K, Wang H, Chen L, et al. Estimation of the spatial distribution of heavy metal in agricultural soils using airborne hyperspectral imaging and random forest[J]. Journal of hazardous materials, 2020, 382: 120987. Wang M, Tan K, Jia X, et al. A deep siamese network with hybrid convolutional feature extraction module for change detection based on multi-sensor remote sensing images[J]. Remote Sensing, 2020, 12(2): 205. Hui-min W, Kun T, Fu-yu W, et al. Study of the retrieval and adsorption mechanism of soil heavy metals based on spectral absorption characteristics[J]. Guangpuxue yu Guangpu Fenxi/Spectroscopy and Spectral Analysis, 2020, 40: 316-323. Wang Y, Wang X, Tan K, et al. Estimation of Maize Yield in Yitong County based on Multi-source Remote Sensing Data from 2007 to 2017[C]//2019 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp). IEEE, 2019: 1-4. Li J, Tan K, Ou D, et al. Evaluation of Ecological Environmental Quality based on Multi-Temporal Remote Sensing Data[C]//2019 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp). IEEE, 2019: 1-4. Tan K, Hou Z, Ma D, et al. Anomaly detection in hyperspectral imagery based on low-rank representation incorporating a spatial constraint[J]. Remote Sensing, 2019, 11(13): 1578. Tan K, Ma W, Wu F, et al. Random forest–based estimation of heavy metal concentration in agricultural soils with hyperspectral sensor data[J]. Environmental monitoring and assessment, 2019, 191: 1-14. Chen Y, Tan K, Yan S, et al. Monitoring land surface displacement over Xuzhou (China) in 2015–2018 through PCA-based correction applied to SAR interferometry[J]. Remote Sensing, 2019, 11(12): 1494. Tan K, Hou Z, Wu F, et al. Anomaly detection for hyperspectral imagery based on the regularized subspace method and collaborative representation[J]. Remote sensing, 2019, 11(11): 1318. Wang X, Tan K, Du Q, et al. Caps-TripleGAN: GAN-assisted CapsNet for hyperspectral image classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(9): 7232-7245. Ou D, Tan K, Du Q, et al. A novel tri-training technique for the semi-supervised classification of hyperspectral images based on regularized local discriminant embedding feature extraction[J]. Remote Sensing, 2019, 11(6): 654. Tan K, Zhang Y, Wang X, et al. Object-based change detection using multiple classifiers and multi-scale uncertainty analysis[J]. Remote Sensing, 2019, 11(3): 359. Tan K, Wu F, Du Q, et al. A parallel Gaussian–Bernoulli restricted Boltzmann machine for mining area classification with hyperspectral imagery[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 12(2): 627-636. Wang X, Tan K, Xu K, et al. Quantitative evaluation of the eco-environment in a coalfield based on multi-temporal remote sensing imagery: a case study of yuxian, China[J]. International Journal of Environmental Research and Public Health, 2019, 16(3): 511.