Superpixel-Based Unsupervised Band Selection for Classification of Hyperspectral Images
文献类型：期刊论文
| 作者 | Yang, Chen1,2; Bruzzone, Lorenzo3; Zhao, Haishi4; Tan, Yulei1; Guan, Renchu4 |
| 刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
 |
| 出版日期 | 2018-12-01 |
| 卷号 | 56期号:12页码:7230-7245 |
| 关键词 | Affinity propagation (AP) band criterion band selection (BS) hyperspectral images superpixel |
| ISSN号 | 0196-2892 |
| DOI | 10.1109/TGRS.2018.2849443 |
| 英文摘要 | This paper presents an unsupervised approach to band selection in hyperspectral images that considers both spectral and spatial information in data dimensionality reduction. The approach exploits the concepts of superpixel and chunklets for identifying the spectral channels most suitable to be used in classification for discriminating land-cover classes. The segmented superpixels can be regarded as many small spectral homogeneous and spatial neighboring pixel chunklets. Based on the observation that the superpixel chunklets achieve high homogeneity and consistency within land-cover classes, a series of band criteria (BC) is identified by learning the optimal band transformation that results in low within-class variability and high total variability. Then, the learned BC, which are called band measures, are given in input to an efficient clustering algorithm, i.e., the affinity propagation, for selecting highly separable bands with low redundancy. The effectiveness of proposed approach was assessed on three hyperspectral data sets. The results point out the advantages of the proposed methods over five state-of-the-art unsupervised methods. |
| WOS关键词 | AFFINITY PROPAGATION ; MUTUAL-INFORMATION |
| 资助项目 | National Natural Science Foundation of China[61572228] ; National Key Basic Research Program of China[2015CB453000] ; Science-Technology Development Plan Project of Jilin Province of China[20160101247JC] |
| WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000451621000030 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key Basic Research Program of China ; National Key Basic Research Program of China ; Science-Technology Development Plan Project of Jilin Province of China ; Science-Technology Development Plan Project of Jilin Province of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key Basic Research Program of China ; National Key Basic Research Program of China ; Science-Technology Development Plan Project of Jilin Province of China ; Science-Technology Development Plan Project of Jilin Province of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key Basic Research Program of China ; National Key Basic Research Program of China ; Science-Technology Development Plan Project of Jilin Province of China ; Science-Technology Development Plan Project of Jilin Province of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key Basic Research Program of China ; National Key Basic Research Program of China ; Science-Technology Development Plan Project of Jilin Province of China ; Science-Technology Development Plan Project of Jilin Province of China |
| 源URL | [http://ir.bao.ac.cn/handle/114a11/23609]  |
| 专题 | 中国科学院国家天文台 |
| 通讯作者 | Yang, Chen; Guan, Renchu |
| 作者单位 | 1.Jilin Univ, Coll Earth Sci, Changchun 130061, Jilin, Peoples R China 2.Chinese Acad Sci, Lab Moon & Deepspace Explorat, Natl Astron Observ, Beijing 100012, Peoples R China 3.Univ Trento, Dept Informat Engn & Comp Sci, I-38050 Trento, Italy 4.Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Jilin, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yang, Chen,Bruzzone, Lorenzo,Zhao, Haishi,et al. Superpixel-Based Unsupervised Band Selection for Classification of Hyperspectral Images[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2018,56(12):7230-7245. |
| APA | Yang, Chen,Bruzzone, Lorenzo,Zhao, Haishi,Tan, Yulei,&Guan, Renchu.(2018).Superpixel-Based Unsupervised Band Selection for Classification of Hyperspectral Images.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,56(12),7230-7245. |
| MLA | Yang, Chen,et al."Superpixel-Based Unsupervised Band Selection for Classification of Hyperspectral Images".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 56.12(2018):7230-7245. |
入库方式： OAI收割
来源：国家天文台
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。