Distributed Compressed Hyperspectral Sensing Imaging Based on Spectral Unmixing

The huge volume of hyperspectral imagery demands enormous computational resources, storage memory, and bandwidth between the sensor and the ground stations. Compressed sensing theory has great potential to reduce the enormous cost of hyperspectral imagery by only collecting a few compressed measurem...

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Principais autores:	Zhongliang Wang, Hua Xiao
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2020-04-01
coleção:	Sensors
Assuntos:	hyperspectral imagery compressed sensing distributed compressed sensing linear mixing model spectral unmixing
Acesso em linha:	https://www.mdpi.com/1424-8220/20/8/2305
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