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Simultaneous change region and pattern identification for very high-resolution images

文献类型：期刊论文

作者Huo, Chunlei1; Huo, Leigang2; Zhou, Zhixin3; Pan, Chunhong1
刊名JOURNAL OF APPLIED REMOTE SENSING
出版日期2017-10-27
卷号11
关键词Change Detection Change Pattern Feature Classification Feature Learning Distance Tuning
DOI10.1117/1.JRS.11.045007
文献子类Article
英文摘要By taking advantages of fine details obtained by the improved spatial resolution, very high-resolution images are promising for detecting change regions and identifying change patterns. However, high overlaps between different change patterns and the complexities of multiclass classification make it difficult to reliably separate change features. A framework named simultaneous change region and pattern identification (SCRAPI) is proposed for simultaneously detecting change regions and identifying change patterns, whose components are aimed at capturing overlaps between change patterns and reducing overlaps driven by user-specific interests. To validate the effectiveness of SCRAPI, a supervised approach is illustrated within this framework, which starts with modeling the relationship between change features by interclass couples and intraclass couples, followed by metric learning where structural sparsity is captured by the mixed norm. Experiments demonstrate the effectiveness of the proposed approach. (C) 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
WOS关键词VHR IMAGES ; CLASSIFICATION ; ALGORITHMS ; SELECTION
WOS研究方向Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000414075200001
资助机构Natural Science Foundation of China(91438105 ; 61375024 ; 61302170 ; 91338202)
源URL[http://ir.ia.ac.cn/handle/173211/20753]  
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, Peoples R China
2.Guangxi Teachers Educ Univ, Sch Comp & Informat Engn, Nanning, Peoples R China
3.Beijing Inst Remote Sensing, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Huo, Chunlei,Huo, Leigang,Zhou, Zhixin,et al. Simultaneous change region and pattern identification for very high-resolution images[J]. JOURNAL OF APPLIED REMOTE SENSING,2017,11.
APA Huo, Chunlei,Huo, Leigang,Zhou, Zhixin,&Pan, Chunhong.(2017).Simultaneous change region and pattern identification for very high-resolution images.JOURNAL OF APPLIED REMOTE SENSING,11.
MLA Huo, Chunlei,et al."Simultaneous change region and pattern identification for very high-resolution images".JOURNAL OF APPLIED REMOTE SENSING 11(2017).

入库方式： OAI收割

来源：自动化研究所

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