中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Learning Relationship for Very High Resolution Image Change Detection

文献类型:期刊论文

作者Huo, Chunlei1; Chen, Keming2; Ding, Kun1; Zhou, Zhixin3; Pan, Chunhong1
刊名IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
出版日期2016-08-01
卷号9期号:8页码:3384-3394
关键词Change Detection Distance Tuning Interclass Couple Intraclass Couple Relationship Learning Target Neighborhood
DOI10.1109/JSTARS.2016.2569598
文献子类Article
英文摘要The difficulty of very high resolution image change detection lies in the low interclass separability between the changed class and the unchanged class. According to experiments, we found that this separability can be improved by mining the relationship contained in the training samples. Based on this observation, a supervised change detection approach is proposed in this paper based on relationship learning. The proposed approach begins with enriching the training samples based on their neighborhood relationship and label coherence; this relationship is then learned simultaneously with the classifier, and, finally, the latter classification performance benefits from the learned relationship. Experiments demonstrate the effectiveness of the proposed approach.
WOS关键词NEAREST-NEIGHBOR CLASSIFICATION ; VHR IMAGES ; PATTERN-CLASSIFICATION ; KERNEL ; ALGORITHMS ; MACHINE
WOS研究方向Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000384907200004
资助机构Natural Science Foundation of China(91438105 ; 61375024 ; 61302170 ; 91338202)
源URL[http://ir.ia.ac.cn/handle/173211/13340]  
专题自动化研究所_模式识别国家重点实验室_遥感图像处理团队
作者单位1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Inst Elect, Beijing 100190, Peoples R China
3.Beijing Inst Remote Sensing, Beijing 100191, Peoples R China
推荐引用方式
GB/T 7714
Huo, Chunlei,Chen, Keming,Ding, Kun,et al. Learning Relationship for Very High Resolution Image Change Detection[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2016,9(8):3384-3394.
APA Huo, Chunlei,Chen, Keming,Ding, Kun,Zhou, Zhixin,&Pan, Chunhong.(2016).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.
MLA Huo, Chunlei,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(2016):3384-3394.

入库方式: OAI收割

来源:自动化研究所

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