Fast Algorithms for Robust Hyperspectral Endmember Extraction Based on Worst-Case Volume Maximization
碩士 === 國立清華大學 === 通訊工程研究所 === 99 === Hyperspectral unmixing is a process of extracting the spectral signatures (endmember signatures) and the corresponding fractions (abundance maps), which represent the proportional contribution of each endmember over the surface, from the given hyperspectral data....
| Main Authors: | , |
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| Format: | Others |
| Language: | en_US |
| Published: |
2011
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| Online Access: | http://ndltd.ncl.edu.tw/handle/05184861526170928943 |