Outlier-insensitive Algorithm for Hyperspectral Unmixing with Spectral Variability

碩士 === 國立清華大學 === 通訊工程研究所 === 107 === Hyperspectral unmixing (HU) works as an effective technique to identify the endmember signatures and their relative abundance fractions from a given hyperspectral data. The conventional linear mixing model (LMM) [1] is often used due to its simplicity; however,...

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Bibliographic Details
Main Authors: Cheng, Hao-Tien, 鄭皓天
Other Authors: Chi, Chong-Yung
Format: Others
Language:en_US
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/ry76h9