Superpixel based Feature Specific Sparse Representation for Spectral-Spatial Classification of Hyperspectral Images

Superpixel based Feature Specific Sparse Representation for Spectral-Spatial Classification of Hyperspectral Images

To improve the performance of the sparse representation classification (SRC), we propose a superpixel-based feature specific sparse representation framework (SPFS-SRC) for spectral-spatial classification of hyperspectral images (HSI) at superpixel level. First, the HSI is divided into different spat...

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Bibliographic Details
Main Authors: He Sun, Jinchang Ren, Huimin Zhao, Yijun Yan, Jaime Zabalza, Stephen Marshall
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Remote Sensing
Subjects:
hyperspectral image
image classification
superpixel
sparse representation
metric learning
Online Access:http://www.mdpi.com/2072-4292/11/5/536

Internet

http://www.mdpi.com/2072-4292/11/5/536

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