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Robust PCANet for hyperspectral image change detection
Yuan, Zhenghang1; Wang, Qi1,2; Li, Xuelong3,4
2018-10-31
Conference Name38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
Source Publication2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
Volume2018-July
Pages4931-4934
Conference Date2018-07-22
Conference PlaceValencia, Spain
PublisherInstitute of Electrical and Electronics Engineers Inc.
Contribution Rank3
AbstractDeep learning is an effective tool for handling high-dimensional data and modeling nonlinearity, which can tackle the hyperspectral data well. Usually deep learning methods need a large number of training samples. However, there is no labeled data for training in change detection (CD). Considering these, this paper develops an unsupervised Robust PCA network (RPCANet) for hyperspectral image CD task. The main contributions of this work are twofold: 1) An unsupervised convolutional neural networks named RPCANet is proposed to handle the hyperspectral image CD; 2) An effective CD framework using the RPCANet and change vector analysis (CVA) is designed to achieve better CD performance with more powerful features. Experimental results on real hyperspectral data sets demonstrate the effectiveness of the proposed method. © 2018 IEEE
Department光学影像学习与分析中心
DOI10.1109/IGARSS.2018.8518196
Indexed ByEI
ISBN9781538671504
Language英语
EI Accession Number20191206668945
Citation statistics
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/31387
Collection光学影像学习与分析中心
Affiliation1.School of Computer Science, Center for OPTical IMagery Analysis and Learning, Northwestern Polytechnical University, Xi'an, Shaanxi Province; 710072, China;
2.Unmanned System Research Institute, Northwestern Polytechnical University, Xi'an, Shaanxi Province; 710072, China;
3.Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xian, Shaanxi Province; 710119, China;
4.University of Chinese Academy of Sciences, Beijing; 100049, China
Recommended Citation
GB/T 7714
Yuan, Zhenghang,Wang, Qi,Li, Xuelong. Robust PCANet for hyperspectral image change detection[C]:Institute of Electrical and Electronics Engineers Inc.,2018:4931-4934.
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