Robust PCANet for hyperspectral image change detection | |
Yuan, Zhenghang1; Wang, Qi1,2; Li, Xuelong3,4 | |
2018-10-31 | |
会议名称 | 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 |
会议录名称 | 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings |
卷号 | 2018-July |
页码 | 4931-4934 |
会议日期 | 2018-07-22 |
会议地点 | Valencia, Spain |
出版者 | Institute of Electrical and Electronics Engineers Inc. |
产权排序 | 3 |
摘要 | Deep 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 |
作者部门 | 光谱成像技术研究室 |
DOI | 10.1109/IGARSS.2018.8518196 |
收录类别 | EI |
ISBN号 | 9781538671504 |
语种 | 英语 |
EI入藏号 | 20191206668945 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/31387 |
专题 | 光谱成像技术研究室 |
作者单位 | 1.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 |
推荐引用方式 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. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Robust PCANet for hy(2810KB) | 会议论文 | 限制开放 | CC BY-NC-SA | 请求全文 |
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