陈克明-尊龙登录

    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）