The unsupervised band selection methods for progressive data analysis of hyperspectral imagery
碩士 === 國立中山大學 === 機械與機電工程學系研究所 === 104 === Band selection (BS) is an important topic that has received wide attention for hyperspectral imaging (HSI) in remote sensing community for many years. In this thesis, two types of unsupervised sequential band selection (SQBS) methods for progressive data an...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2016
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| Online Access: | http://ndltd.ncl.edu.tw/handle/78332053556447541656 |