Hyperspectral Band Selection for Lithologic Discrimination and Geological Mapping
文献类型：期刊论文
| 作者 | Tan, Yulei1; Lu, Laijun1; Bruzzone, Lorenzo2; Guan, Renchu3; Chang, Zhiyong4,5; Yang, Chen1,6 |
| 刊名 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
 |
| 出版日期 | 2020 |
| 卷号 | 13页码:471-486 |
| 关键词 | Band selection (BS) geological mapping hyperspectral imagery (HSIs) lithologic discrimination remote sensing superpixels |
| ISSN号 | 1939-1404 |
| DOI | 10.1109/JSTARS.2020.2964000 |
| 英文摘要 | Classification techniques applied to hyperspectral images are very useful for lithologic discrimination and geological mapping. Classifiers are often applied either to all spectral channels or only to absorption spectral channels. However, it is difficult to obtain different lithology information using specific absorption regions from the narrow bandwidth and contiguous spectral channels due to spectral variability among rocks. In this article, we propose a band selection (BS) method for hyperspectral lithologic discrimination, in which the lithological superpixels are first gathered. A spectral bands selection criterion is learned by measuring the homogeneity and the variation of the lithological superpixels, and lithologic discriminating bands are identified by an efficient clustering algorithm based on affinity propagation. In this article, two geologic test sites, i.e., the Airborne Visible/Infrared Imaging Spectrometer data of the Cuprite, Nevada, USA, including 11 lithologic units (9 types of rocks) and the Hyperion data of Junggar, China, with 5 lithologic units, are chosen for validation. The performance of the proposed BS method is compared with those of using all the bands, specific absorption spectral channels, and two literature BS techniques. Experimental results show that the proposed method improves mapping accuracy by selecting fewer bands with higher lithologic discrimination capability than the other considered methods. |
| WOS关键词 | IMAGING SPECTROSCOPY ; SLIC SUPERPIXELS ; VNIR-SWIR ; CUPRITE ; IMAGERY ; NEVADA ; CLASSIFICATION ; SPECTROMETER ; MINERALS ; DISTRICT |
| 资助项目 | National Key Basic Research Program of China[2015CB453000] ; National Natural Science Foundation of China[61572228] ; National Mineral Resources Potential Dynamic Evaluation Project of China Geological Survey[3S2170034422] ; Science-Technology Development Plan Project of Jilin Province of China[20190303006SF] ; Science-Technology Development Plan Project of Jilin Province of China[20190302107GX] ; Industrial Innovation Special Funds Project of Jilin Province[2019C053-5] ; Industrial Innovation Special Funds Project of Jilin Province[2019C053-7] ; Open Funds Project of Key Laboratory of Lunar and Deep Space Exploration[LDSE201906] |
| WOS研究方向 | Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000526639900039 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Key Basic Research Program of China ; National Key Basic Research Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Mineral Resources Potential Dynamic Evaluation Project of China Geological Survey ; National Mineral Resources Potential Dynamic Evaluation Project of China Geological Survey ; Science-Technology Development Plan Project of Jilin Province of China ; Science-Technology Development Plan Project of Jilin Province of China ; Industrial Innovation Special Funds Project of Jilin Province ; Industrial Innovation Special Funds Project of Jilin Province ; Open Funds Project of Key Laboratory of Lunar and Deep Space Exploration ; Open Funds Project of Key Laboratory of Lunar and Deep Space Exploration ; National Key Basic Research Program of China ; National Key Basic Research Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Mineral Resources Potential Dynamic Evaluation Project of China Geological Survey ; National Mineral Resources Potential Dynamic Evaluation Project of China Geological Survey ; Science-Technology Development Plan Project of Jilin Province of China ; Science-Technology Development Plan Project of Jilin Province of China ; Industrial Innovation Special Funds Project of Jilin Province ; Industrial Innovation Special Funds Project of Jilin Province ; Open Funds Project of Key Laboratory of Lunar and Deep Space Exploration ; Open Funds Project of Key Laboratory of Lunar and Deep Space Exploration ; National Key Basic Research Program of China ; National Key Basic Research Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Mineral Resources Potential Dynamic Evaluation Project of China Geological Survey ; National Mineral Resources Potential Dynamic Evaluation Project of China Geological Survey ; Science-Technology Development Plan Project of Jilin Province of China ; Science-Technology Development Plan Project of Jilin Province of China ; Industrial Innovation Special Funds Project of Jilin Province ; Industrial Innovation Special Funds Project of Jilin Province ; Open Funds Project of Key Laboratory of Lunar and Deep Space Exploration ; Open Funds Project of Key Laboratory of Lunar and Deep Space Exploration ; National Key Basic Research Program of China ; National Key Basic Research Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Mineral Resources Potential Dynamic Evaluation Project of China Geological Survey ; National Mineral Resources Potential Dynamic Evaluation Project of China Geological Survey ; Science-Technology Development Plan Project of Jilin Province of China ; Science-Technology Development Plan Project of Jilin Province of China ; Industrial Innovation Special Funds Project of Jilin Province ; Industrial Innovation Special Funds Project of Jilin Province ; Open Funds Project of Key Laboratory of Lunar and Deep Space Exploration ; Open Funds Project of Key Laboratory of Lunar and Deep Space Exploration |
| 源URL | [http://ir.bao.ac.cn/handle/114a11/56067]  |
| 专题 | 中国科学院国家天文台 |
| 通讯作者 | Chang, Zhiyong; Yang, Chen |
| 作者单位 | 1.Jilin Univ, Coll Earth Sci, Changchun 130061, Peoples R China 2.Univ Trento, Dept Informat Engn & Comp Sci, I-38050 Trento, Italy 3.Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Peoples R China 4.Jilin Univ, Coll Biol & Agr Engn, Changchun 130025, Peoples R China 5.Jilin Univ, Natl Local Joint Engn Lab In Situ Convers Drillin, Changchun 130021, Peoples R China 6.Chinese Acad Sci, Natl Astron Observ, Key Lab Lunar & Deep Space Explorat, Beijing 100012, Peoples R China |
| 推荐引用方式 GB/T 7714 | Tan, Yulei,Lu, Laijun,Bruzzone, Lorenzo,et al. Hyperspectral Band Selection for Lithologic Discrimination and Geological Mapping[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2020,13:471-486. |
| APA | Tan, Yulei,Lu, Laijun,Bruzzone, Lorenzo,Guan, Renchu,Chang, Zhiyong,&Yang, Chen.(2020).Hyperspectral Band Selection for Lithologic Discrimination and Geological Mapping.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,13,471-486. |
| MLA | Tan, Yulei,et al."Hyperspectral Band Selection for Lithologic Discrimination and Geological Mapping".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 13(2020):471-486. |
入库方式： OAI收割
来源：国家天文台
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