An Adaptive Surrogate-Assisted Endmember Extraction Framework Based on Intelligent Optimization Algorithms for Hyperspectral Remote Sensing Images

As the foremost step of spectral unmixing, endmember extraction has been one of the most challenging techniques in the spectral unmixing processing due to the mixing of pixels and the complexity of hyperspectral remote sensing images. The existing geometrial-based endmember extraction algorithms hav...

Deskribapen osoa

Xehetasun bibliografikoak

Egile Nagusiak:	Zhao Wang, Jianzhao Li, Yiting Liu, Fei Xie, Peng Li
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2022-02-01
Saila:	Remote Sensing
Gaiak:	hyperspectral remote sensing intelligent optimization algorithms endmember extraction surrogate-assisted model
Sarrera elektronikoa:	https://www.mdpi.com/2072-4292/14/4/892
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!