Learning Relationship for Very High Resolution Image Change Detection
文献类型:期刊论文
作者 | Huo, Chunlei1![]() ![]() ![]() |
刊名 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
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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 |
DOI | 10.1109/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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