Spectral and Spatial Classification of Hyperspectral Images Based on Random Multi-Graphs

Spectral and Spatial Classification of Hyperspectral Images Based on Random Multi-Graphs

Hyperspectral image classification has been acknowledged as the fundamental and challenging task of hyperspectral data processing. The abundance of spectral and spatial information has provided great opportunities to effectively characterize and identify ground materials. In this paper, we propose a...

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Bibliographic Details
Main Authors:	Feng Gao, Qun Wang, Junyu Dong, Qizhi Xu
Format:	Article
Language:	English
Published:	MDPI AG 2018-08-01
Series:	Remote Sensing
Subjects:	random multi-graphs local binary patterns hyperspectral image pattern classification
Online Access:	http://www.mdpi.com/2072-4292/10/8/1271

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