Joint Sparse Sub-Pixel Mapping Model with Endmember Variability for Remotely Sensed Imagery

Spectral unmixing and sub-pixel mapping have been used to estimate the proportion and spatial distribution of the different land-cover classes in mixed pixels at a sub-pixel scale. In the past decades, several algorithms were proposed in both categories; however, these two techniques are generally r...

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Principais autores:	Xiong Xu, Xiaohua Tong, Antonio Plaza, Yanfei Zhong, Huan Xie, Liangpei Zhang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2016-12-01
coleção:	Remote Sensing
Assuntos:	sub-pixel mapping super-resolution mapping spectral unmixing endmember variability hyperspectral imaging sparse regression
Acesso em linha:	http://www.mdpi.com/2072-4292/9/1/15
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