A Novel Endmember Extraction Method Using Sparse Component Analysis for Hyperspectral Remote Sensing Imagery

The spectral unmixing technique is an effective method of solving the mixed pixel problem in the hyperspectral remote sensed imagery. During the process, endmember extraction algorithm (EEA) is significant for the creation of material abundance maps. However, the traditional EEAs are not very reliab...

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Hlavní autoři:	Ke Wu, Xiaoxiao Feng, Honggen Xu, Yuxiang Zhang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2018-01-01
Edice:	IEEE Access
Témata:	Hyperspectral imagery endmember extraction spectral unmixing sparse component analysis
On-line přístup:	https://ieeexplore.ieee.org/document/8540389/
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