基本信息
陈克明 男 博导 中国科学院空天信息创新研究院
电子邮件： kmchen.ie@gmail.com
通信地址： 海淀区中关村北一条9号科电大厦1301
邮政编码：
电子邮件： kmchen.ie@gmail.com
通信地址： 海淀区中关村北一条9号科电大厦1301
邮政编码：
研究领域
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；
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；
教育背景
2006-09--2010-10 中国科学院自动化研究所 博士
工作经历
工作简历
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
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
社会兼职
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
2013-01-01-今,中国电子学会三遥分会, 第6届委员会委员
专利与奖励
专利成果
[1] 陈克明, 周光尧, 孙显, 许光銮. 动向报文生成方法、装置、设备及介质. CN: CN119227679A, 2024-12-31.
[2] 陈克明, 周光尧, 张泽群, 孙显, 金力, 刘康, 陈宇琦. 文本处理方法、装置、设备以及介质. CN: CN116562283A, 2023-08-08.
[3] 周光尧, 王文志, 彭哲, 李佩峰, 杨震, 陈克明. 用于检测图像变化的模型的训练方法及图像变化检测方法. CN: CN114255229B, 2024-12-20.
[2] 陈克明, 周光尧, 张泽群, 孙显, 金力, 刘康, 陈宇琦. 文本处理方法、装置、设备以及介质. CN: CN116562283A, 2023-08-08.
[3] 周光尧, 王文志, 彭哲, 李佩峰, 杨震, 陈克明. 用于检测图像变化的模型的训练方法及图像变化检测方法. CN: CN114255229B, 2024-12-20.
出版信息
发表论文
[1] Jian, Ping, Ou, Yimin, Chen, Keming. Hypergraph Self-Supervised Learning-Based Joint Spectral-Spatial-Temporal Feature Representation for Hyperspectral Image Change Detection. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2025, 第 3 作者18: 741-756, http://dx.doi.org/10.1109/JSTARS.2024.3483560.
[2] Ping Jian, Yimin Ou, Keming Chen. Uncertainty Aware Graph Self-Supervised Learning for Hyperspectral Image Change Detection. Ieee Transactions on Geoscience and Remote Sensing[J]. 2024, 第 3 作者
[3] Chen, Yuqi, Zhang, Zequn, Zhou, Guangyao, Sun, Xian, Chen, Keming. Span-based dual-decoder framework for aspect sentiment triplet extraction. NEUROCOMPUTING[J]. 2022, 第 5 作者492: 211-221, http://dx.doi.org/10.1016/j.neucom.2022.04.022.
[4] Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. 2022, 第 2 作者 通讯作者
[5] 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, 第 2 作者 通讯作者 15: 4897-4908, https://doaj.org/article/1e59c27fd3f6474bbc029fe2a150e686.
[6] 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, 第 2 作者19: http://dx.doi.org/10.1109/LGRS.2021.3066435.
[7] 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, 第 2 作者 通讯作者 19: http://dx.doi.org/10.1109/LGRS.2020.3022512.
[8] Xu, Quanfu, Chen, Keming, Zhou, Guangyao, Sun, Xian. Change Capsule Network for Optical Remote Sensing Image Change Detection. REMOTE SENSING[J]. 2021, 第 2 作者 通讯作者 13(14): http://dx.doi.org/10.3390/rs13142646.
[9] 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, 第 2 作者 通讯作者 17(1): 127-131, http://dx.doi.org/10.1109/LGRS.2019.2916601.
[10] Shi, Nian, Chen, Keming, Zhou, Guangyao, Sun, Xian. A Feature Space Constraint-Based Method for Change Detection in Heterogeneous Images. REMOTE SENSING[J]. 2020, 第 2 作者 通讯作者 12(18): https://doaj.org/article/992e95b5124a4eeaab4d1f3ada388c32.
[11] 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, 第 3 作者 通讯作者 16(2): 266-270, https://www.webofscience.com/wos/woscc/full-record/WOS:000457356600022.
[12] 陈克明. Semi-supervised Change Detection based on Graphs with Generative Adversarial Networks. IEEE International Geoscience and Remote Sensing Symposium (IGARSS). 2019, 第 1 作者
[13] 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, 第 2 作者9(8): 3384-3394, http://dx.doi.org/10.1109/JSTARS.2016.2569598.
[14] 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, 第 2 作者37(8): 1814-1825, https://www.webofscience.com/wos/woscc/full-record/WOS:000373987400005.
[15] 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, 第 1 作者 通讯作者 10(6): 1285-1289, http://ir.ceode.ac.cn/handle/183411/28384.
[16] 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, 第 1 作者 通讯作者 10(2): 236-240, http://ir.ceode.ac.cn/handle/183411/28374.
[17] 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, 第 1 作者16(6): 1192-1204, http://www.ygxb.ac.cn/zh/article/doi/10.11834/jrs.20121320/.
[18] Lu HQ. A CO-GAUSSIAN PROCESS BASED FRAMEWORK FOR REMOTE SENSING IMAGE CHANGE DETECTION. IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP). 2010, 2142-2145, http://ir.ia.ac.cn/handle/173211/4622.
[19] Lu HQ. A VARIATIONAL CO-TRAINING FRAMEWORK FOR REMOTE SENSING IMAGE SEGMENTATION. IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS). 2009, 2493-2496, http://ir.ia.ac.cn/handle/173211/4641.
[20] Lu HQ, Huo CL. SEMI-SUPERVISED CHANGE DETECTION VIA GAUSSIAN PROCESSES. IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS). 2009, 1247-1250, http://ir.ia.ac.cn/handle/173211/4723.
[21] Lu HQ. A VARIATIONAL BAYESIAN APPROACH TO REMOTE SENSING IMAGE CHANGE DETECTION. IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS). 2009, 1506-1509, http://ir.ia.ac.cn/handle/173211/4640.
[22] 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 1-6. 2008, 第 1 作者 通讯作者 3382-3385,
[23] 陈克明. Unsupervised Change Detection on SAR Images using Markovian Fusion. SPIE . Multispectral Image Processing and Pattern Recognition (MIPPR). 2008, 第 1 作者
[24] 陈克明. Unsupervised Change Detection in SAR Images using Graphcut. IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS). 2008, 第 1 作者
[2] Ping Jian, Yimin Ou, Keming Chen. Uncertainty Aware Graph Self-Supervised Learning for Hyperspectral Image Change Detection. Ieee Transactions on Geoscience and Remote Sensing[J]. 2024, 第 3 作者
[3] Chen, Yuqi, Zhang, Zequn, Zhou, Guangyao, Sun, Xian, Chen, Keming. Span-based dual-decoder framework for aspect sentiment triplet extraction. NEUROCOMPUTING[J]. 2022, 第 5 作者492: 211-221, http://dx.doi.org/10.1016/j.neucom.2022.04.022.
[4] Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. 2022, 第 2 作者 通讯作者
[5] 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, 第 2 作者 通讯作者 15: 4897-4908, https://doaj.org/article/1e59c27fd3f6474bbc029fe2a150e686.
[6] 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, 第 2 作者19: http://dx.doi.org/10.1109/LGRS.2021.3066435.
[7] 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, 第 2 作者 通讯作者 19: http://dx.doi.org/10.1109/LGRS.2020.3022512.
[8] Xu, Quanfu, Chen, Keming, Zhou, Guangyao, Sun, Xian. Change Capsule Network for Optical Remote Sensing Image Change Detection. REMOTE SENSING[J]. 2021, 第 2 作者 通讯作者 13(14): http://dx.doi.org/10.3390/rs13142646.
[9] 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, 第 2 作者 通讯作者 17(1): 127-131, http://dx.doi.org/10.1109/LGRS.2019.2916601.
[10] Shi, Nian, Chen, Keming, Zhou, Guangyao, Sun, Xian. A Feature Space Constraint-Based Method for Change Detection in Heterogeneous Images. REMOTE SENSING[J]. 2020, 第 2 作者 通讯作者 12(18): https://doaj.org/article/992e95b5124a4eeaab4d1f3ada388c32.
[11] 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, 第 3 作者 通讯作者 16(2): 266-270, https://www.webofscience.com/wos/woscc/full-record/WOS:000457356600022.
[12] 陈克明. Semi-supervised Change Detection based on Graphs with Generative Adversarial Networks. IEEE International Geoscience and Remote Sensing Symposium (IGARSS). 2019, 第 1 作者
[13] 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, 第 2 作者9(8): 3384-3394, http://dx.doi.org/10.1109/JSTARS.2016.2569598.
[14] 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, 第 2 作者37(8): 1814-1825, https://www.webofscience.com/wos/woscc/full-record/WOS:000373987400005.
[15] 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, 第 1 作者 通讯作者 10(6): 1285-1289, http://ir.ceode.ac.cn/handle/183411/28384.
[16] 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, 第 1 作者 通讯作者 10(2): 236-240, http://ir.ceode.ac.cn/handle/183411/28374.
[17] 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, 第 1 作者16(6): 1192-1204, http://www.ygxb.ac.cn/zh/article/doi/10.11834/jrs.20121320/.
[18] Lu HQ. A CO-GAUSSIAN PROCESS BASED FRAMEWORK FOR REMOTE SENSING IMAGE CHANGE DETECTION. IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP). 2010, 2142-2145, http://ir.ia.ac.cn/handle/173211/4622.
[19] Lu HQ. A VARIATIONAL CO-TRAINING FRAMEWORK FOR REMOTE SENSING IMAGE SEGMENTATION. IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS). 2009, 2493-2496, http://ir.ia.ac.cn/handle/173211/4641.
[20] Lu HQ, Huo CL. SEMI-SUPERVISED CHANGE DETECTION VIA GAUSSIAN PROCESSES. IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS). 2009, 1247-1250, http://ir.ia.ac.cn/handle/173211/4723.
[21] Lu HQ. A VARIATIONAL BAYESIAN APPROACH TO REMOTE SENSING IMAGE CHANGE DETECTION. IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS). 2009, 1506-1509, http://ir.ia.ac.cn/handle/173211/4640.
[22] 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 1-6. 2008, 第 1 作者 通讯作者 3382-3385,
[23] 陈克明. Unsupervised Change Detection on SAR Images using Markovian Fusion. SPIE . Multispectral Image Processing and Pattern Recognition (MIPPR). 2008, 第 1 作者
[24] 陈克明. Unsupervised Change Detection in SAR Images using Graphcut. IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS). 2008, 第 1 作者
科研活动
科研项目
（ 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
（ 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
指导学生
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