高分辨率遥感图像精细化变化分析技术；
高分辨率光学遥感图像理解与目标特性分析技术；
典型军事事件语义分析与动态监视技术；

2006-09--2010-10   中国科学院自动化研究所   博士

   

2020-12~现在, 中国科学院空天信息创新研究院, 研究员
2014-04~2020-11,中国科学院电子学研究所, 副研究员
2011-02~2014-03,中国科学院电子学研究所, 助理研究员

2016-01-01-今,GRSL审稿人,
2013-01-01-今,中国电子学会三遥分会, 第6届委员会委员

   

（ 1 ） 基于变化矢量分析与分类后比较的遥感图像变化检测方法, 发明, 2011, 第 1 作者, 专利号: ZL201110401937.6
（ 2 ） 两时相遥感图像变化检测的方法, 发明, 2012, 第 1 作者, 专利号: ZL201210153614.4
（ 3 ） 一种高分辨率遥感图像自动语义标记方法, 发明, 2013, 第 1 作者, 专利号: ZL201310128944.6
（ 4 ） 大尺度时间序列遥感图像变化区域检测, 发明, 2015, 第 1 作者, 专利号: 2015109403483
（ 5 ） 一直能够基于深度学习的多源遥感图形融合方法, 发明, 2021, 第 1 作者, 专利号: 201610703682.1
（ 6 ） 基于三元组语义关系学习的航拍遥感图形变化检测方法, 发明, 2018, 第 1 作者, 专利号: 201810385526.4

   

[1] Shi, Nian, Chen, Keming, Zhou, Guangyao. A Divided Spatial and Temporal Context Network for Remote Sensing Change Detection. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2022, 15: 4897-4908, https://doaj.org/article/1e59c27fd3f6474bbc029fe2a150e686.
[2] Jian, Ping, Chen, Keming, Cheng, Wei. GAN-Based One-Class Classification for Remote-Sensing Image Change Detection. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS[J]. 2022, 19: [3] Xu, Quanfu, Chen, Keming, Sun, Xian, Zhang, Yue, Li, Hao, Xu, Guangluan. Pseudo-Siamese Capsule Network for Aerial Remote Sensing Images Change Detection. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS[J]. 2022, 19: http://dx.doi.org/10.1109/LGRS.2020.3022512.
[4] Liu, Junfu, Chen, Keming, Xu, Guangluan, Sun, Xian, Yan, Menglong, Diao, Wenhui, Han, Hongzhe. Convolutional Neural Network-Based Transfer Learning for Optical Aerial Images Change Detection. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS[J]. 2020, 17(1): 127-131, http://dx.doi.org/10.1109/LGRS.2019.2916601.
[5] Shi, Nian, Chen, Keming, Zhou, Guangyao, Sun, Xian. A Feature Space Constraint-Based Method for Change Detection in Heterogeneous Images. REMOTE SENSING[J]. 2020, 12(18): https://doaj.org/article/992e95b5124a4eeaab4d1f3ada388c32.
[6] Zhang, Mengya, Xu, Guangluan, Chen, Keming, Yan, Menglong, Sun, Xian. Triplet-Based Semantic Relation Learning for Aerial Remote Sensing Image Change Detection. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS[J]. 2019, 16(2): 266-270, https://www.webofscience.com/wos/woscc/full-record/WOS:000457356600022.
[7] 陈克明. Semi-supervised Change Detection based on Graphs with Generative Adversarial Networks. IEEE International Geoscience and Remote Sensing Symposium (IGARSS). 2019, [8] Huo, Chunlei, Chen, Keming, Ding, Kun, Zhou, Zhixin, Pan, Chunhong. Learning Relationship for Very High Resolution Image Change Detection. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2016, 9(8): 3384-3394, http://dx.doi.org/10.1109/JSTARS.2016.2569598.
[9] Jian, Ping, Chen, Keming, Zhang, Chenwei. A hypergraph-based context-sensitive representation technique for VHR remote-sensing image change detection. INTERNATIONAL JOURNAL OF REMOTE SENSING[J]. 2016, 37(8): 1814-1825, https://www.webofscience.com/wos/woscc/full-record/WOS:000373987400005.
[10] Chen, Keming, Jian, Ping, Zhou, Zhixin, Guo, Jianen, Zhang, Daobing. Semantic Annotation of High-Resolution Remote Sensing Images via Gaussian Process Multi-Instance Multilabel Learning. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS[J]. 2013, 10(6): 1285-1289, http://ir.ceode.ac.cn/handle/183411/28384.
[11] Chen, Keming, Zhou, Zhixin, Huo, Chunlei, Sun, Xian, Fu, Kun. A Semisupervised Context-Sensitive Change Detection Technique via Gaussian Process. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS[J]. 2013, 10(2): 236-240, http://ir.ceode.ac.cn/handle/183411/28374.
[12] 陈克明, 周志鑫, 卢汉清, 胡文龙, 孙显. 基于高斯过程的高分辨率遥感图像变化检测. 遥感学报[J]. 2012, 16(6): 1192-1204, http://www.ygxb.ac.cn/zh/article/doi/10.11834/jrs.20121320/.
[13] Lu HQ. A CO-GAUSSIAN PROCESS BASED FRAMEWORK FOR REMOTE SENSING IMAGE CHANGE DETECTION. IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)null. 2010, 2142-2145, http://ir.ia.ac.cn/handle/173211/4622.
[14] Lu HQ. A VARIATIONAL CO-TRAINING FRAMEWORK FOR REMOTE SENSING IMAGE SEGMENTATION. IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)null. 2009, 2493-2496, http://ir.ia.ac.cn/handle/173211/4641.
[15] Lu HQ, Huo CL. SEMI-SUPERVISED CHANGE DETECTION VIA GAUSSIAN PROCESSES. IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)null. 2009, 1247-1250, http://ir.ia.ac.cn/handle/173211/4723.
[16] Lu HQ. A VARIATIONAL BAYESIAN APPROACH TO REMOTE SENSING IMAGE CHANGE DETECTION. IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)null. 2009, 1506-1509, http://ir.ia.ac.cn/handle/173211/4640.
[17] Chen, Keming, Huo, Chunlei, Cheng, Jian, Zhou, Zhixin, Lu, Hanqing, IEEE. Change Detection based on Adaptive Markov Random Fields. 19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6null. 2008, 3382-3385, [18] 陈克明. Unsupervised Change Detection on SAR Images using Markovian Fusion. SPIE . Multispectral Image Processing and Pattern Recognition (MIPPR). 2008, [19] 陈克明. Unsupervised Change Detection in SAR Images using Graphcut. IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS). 2008, 

   

（ 1 ） 基于语义理解的高分辨率遥感图像变化分析方法研究, 主持, 国家级, 2014-01--2016-12
（ 2 ） 基于专家知识的重大事件综合分析技术研究, 主持, 国家级, 2013-01--2015-12
（ 3 ） 中小型固定设施识别软件插件, 主持, 国家级, 2014-07--2016-07
（ 4 ） 基于数字地球的电子目标仿真, 主持, 国家级, 2015-01--2016-12

已指导学生

张梦雅  硕士研究生  081002-信号与信息处理  

刘俊夫  硕士研究生  081002-信号与信息处理  

许全福  硕士研究生  081002-信号与信息处理  

现指导学生

陈宇琦  硕士研究生  081002-信号与信息处理  

施念  硕士研究生  081002-信号与信息处理  

李浩铭  硕士研究生  085400-电子信息