Hyperspectral Imagery Classification Based on Multiscale Superpixel-Level Constraint Representation

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: Article
Language:English
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

Internet

https://www.mdpi.com/2072-4292/12/20/3342

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