陈克明,中国科学院空天信息创新研究院，研究员，博士生导师。研究方向为模式识别与遥感图像智能解译，重点开展高分辨率遥感变化检测、时间序列变化过程精细化分析等方面研究。中国电子学会三遥分会委员、中国自动化学会模式识别与机器智能专委会委员。IEEE GRSL、TGRS、JSTARS、IJRS、RS等国际刊物审稿人。作为负责人承担国家自然科学基金、高分重大专项、国家重大型号工程等科研课题6项。目前，以第一作者或通讯作者发表学术论文20余篇，授权专利7项。

工作经历：

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

2012.03-2015.12    中国人民解放军61646部队博士后工作站  博士后

2011.02-2014.03    中国科学院电子学研究所               助理研究员

模式识别与遥感图像智能解译

（1）学术论文

[1]Ping Jian, Keming Chen, Wei Cheng, GAN-Based One-Class Classification for Remote-Sensing Image Change Detection. IEEE Geoscience and Remote Sensing Letters. 19: 1-5, 2022. (SCI cited)

[2]Nian Shi, Keming Chen, Guangyao Zhou, A Divided Spatial and Temporal Context Network for Remote Sensing Change Detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15: 4897-4908,2022. (SCI cited)

[3]Yuqi Chen, Keming Chen, Xian Sun, et al, A Span-level Bidirectional Network for Aspect Sentiment Triplet Extraction. Conference on Empirical Methods in Natural Language Processing (EMNLP), 4300-4309, 2022.

[4]Yuqi Chen, Zequn Zhang, Guangyao Zhou, Xian Sun, Keming Chen, Span-based dual-decoder framework for aspect sentiment triplet extraction. Neurocomputing, 492: 211-221, 2022. (SCI cited)

[5]Quanfu Xu, Keming Chen, Guangluan Xu, et al. Pseudo-Siamese Capsule Network for Aerial Remote Sensing Images Change Detection, IEEE Geoscience and Remote Sensing Letters, 19:1-5, 2022. (SCI cited)

[6]Nian Shi, Keming Chen, Guangyao Zhou, et al. A Feature Space Constraint-Based Method for Change Detection in Heterogeneous Images, Remote Sensing, 12(18): 3057-3075, 2020. (SCI cited)

[7]Jiufu Liu, Keming Chen, Guangluan Xu, et al. Convolutional Neural Network-Based Transfer Learning for Optical Aerial Images Change Detection, IEEE Geoscience and Remote Sensing Letters, 17(1):127-131, 2020. (SCI cited)

[8]Jiufu Liu, Keming Chen, Guangluan Xu, et al. Semi-Supervised Change Detection Based on Graphs with Generative Adversarial Networks. Int'l Geoscience & Remote Sensing Symposium (IGARSS), IEEE, Japan, 74-77, 2019. (EI cited)

[9]Mengya Zhang, Guangluan Xu, Keming Chen, et al. Triplet-Based Semantic Relation Learning for Aerial Remote Sensing Image Change Detection, IEEE Geoscience and Remote Sensing Letters, 16(2):266-270, 2019. (SCI cited)

[10]Cunlei Huo, Keming Chen, Kun Ding, et al. Learning Relationship for Very High Resolution Image Change Detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(8): 3384-3394, 2016. (SCI cited)

[11]Ping Jian, Keming Chen, Chengwei Zhang. A Hypergraph-based Context-sensitive Representation for VHR Remote Sensing Image Change Detection, International Journal of Remote Sensing, 1814-1825, 2016. (SCI cited)

[12]Keming Chen, Zhixin Zhou, Chunlei Huo, et al. A Semisupervised Context-Sensitive Change Detection Technique via Gaussian Process, IEEE Geoscience and Remote Sensing Letters, 10(2):236-240, 2013. (SCI cited)

[13]Keming Chen, Ping Jian, Zhixin Zhou, et al. Semantic Annotation of High Resolution Remote Sensing Images via Gaussian Process Multi-Instance Multi-Label Learning, IEEE Geoscience and Remote Sensing Letters, 10(6):1285-1289, 2013. (SCI cited)

[14]Keming Chen, Zhenglong Li, Jian Cheng, et al. A Co-Gaussian Process based framework for remote sensing image change detection, International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2142-2145, 2010.

（2）专利

[1]陈克明，张梦雅，许光銮等，基于三元组语义关系学习的航拍遥感图像变化检测方法，中国，2018103855264；

[2]陈克明，周志鑫 ，付琨等，一种能够基于深度学习的多源遥感图像融合方法，中国，2016107036821；（已授权）

[3]陈克明，周志鑫，郭建恩等，大尺度时间序列遥感图像变化区域检测，中国，2015109403483；（已授权）

[4]陈克明，鉴萍，周志鑫，一种高分辨率遥感图像自动语义标记方法，中国，2013101289442；（已授权）

[5]陈克明，周志鑫，郭建恩等，两时相遥感图像变化检测的方法，中国，201210153614；（已授权）

[6]陈克明，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，中国，201110401937；（已授权）