Band Subset Selection Approaches Based On Sparse Representation for Hyperspectral Imagery
碩士 === 國立中山大學 === 機械與機電工程學系研究所 === 107 === With the advancement of remote sensing technology, the applications of hyperspectral imagery (HSI) are more and more popular. Despite of many success achieved by HSI techniques, there are still some problems to be solved. For instance, HSI data provides hug...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/un37mu |