Improved Joint Sparse Models for Hyperspectral Image Classification Based on a Novel Neighbour Selection Strategy

Improved Joint Sparse Models for Hyperspectral Image Classification Based on a Novel Neighbour Selection Strategy

Joint sparse representation has been widely used for hyperspectral image classification in recent years, however, the equal weight assigned to each neighbouring pixel is less realistic, especially for the edge areas, and one fixed scale is not appropriate for the entire image extent. To overcome the...

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Bibliographic Details
Main Authors: Qishuo Gao, Samsung Lim, Xiuping Jia
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Remote Sensing
Subjects:
hyperspectral images
classification
sparse representation
joint sparse model
adaptive local matrix
Online Access:http://www.mdpi.com/2072-4292/10/6/905

Internet

http://www.mdpi.com/2072-4292/10/6/905

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