Hyperspectral Imagery Classification Based on Multiscale Superpixel-Level Constraint Representation

Sparse representation (SR)-based models have been widely applied for hyperspectral image classification. In our previously established constraint representation (CR) model, we exploited the underlying significance of the sparse coefficient and proposed the participation degree (PD) to represent the...

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Bibliographic Details

Main Authors:	Haoyang Yu, Xiao Zhang, Meiping Song, Jiaochan Hu, Qiandong Guo, Lianru Gao
Format:	Artigo
Language:	Inglês
Published:	MDPI AG 2020-10-01
Series:	Remote Sensing
Subjects:	hyperspectral remote sensing image classification constraint representation superpixel segmentation multiscale decision fusion
Online Access:	https://www.mdpi.com/2072-4292/12/20/3342
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