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A Semisupervised Context-Sensitive Change Detection Technique via Gaussian Process

文献类型：期刊论文

作者Chen, Keming1,2; Zhou, Zhixin2; Huo, Chunlei3; Sun, Xian1; Fu, Kun1
刊名IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
出版日期2013-03-01
卷号10期号:2页码:236-240
关键词Change detection Gaussian process (GP) high-resolution (HR) image Markov random field (MRF)
英文摘要In this letter, we propose a semisupervised contex-t-sensitive technique for change detection in high-resolution multitemporal remote sensing images. This is achieved by analyzing the posterior probability of probabilistic Gaussian process (GP) classifier within a Markov random field (MRF) model. In particular, the method consists of two steps: 1) A semisupervised initialization exploits both labeled and unlabeled data based on a probabilistic GP classifier, and 2) an MRF regularization aims at refining the posterior probability by employing the spatial context information. In particular, both edge information and high-order potential are utilized in MRF energy function formulation. Experimental results obtained on real remote sensing multitemporal imagery data sets confirm the effectiveness of the proposed approach.
WOS标题词Science & Technology ; Physical Sciences ; Technology
类目[WOS]Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
研究领域[WOS]Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
关键词[WOS]UNSUPERVISED CHANGE DETECTION ; CLASSIFICATION ; IMAGES ; SVM
收录类别SCI
语种英语
WOS记录号WOS:000310901600006
源URL[http://ir.ia.ac.cn/handle/173211/3703]  
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 Elect, Key Lab GeoSpatial Informat Proc & Applicat Syst, Beijing 100190, Peoples R China
2.Beijing Inst Remote Sensing, Beijing 100854, Peoples R China
3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Chen, Keming,Zhou, Zhixin,Huo, Chunlei,et al. A Semisupervised Context-Sensitive Change Detection Technique via Gaussian Process[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2013,10(2):236-240.
APA Chen, Keming,Zhou, Zhixin,Huo, Chunlei,Sun, Xian,&Fu, Kun.(2013).A Semisupervised Context-Sensitive Change Detection Technique via Gaussian Process.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,10(2),236-240.
MLA Chen, Keming,et al."A Semisupervised Context-Sensitive Change Detection Technique via Gaussian Process".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 10.2(2013):236-240.

入库方式： OAI收割

来源：自动化研究所

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