A Sparse Representation-Based Sample Pseudo-Labeling Method for Hyperspectral Image Classification

A Sparse Representation-Based Sample Pseudo-Labeling Method for Hyperspectral Image Classification

Hyperspectral image classification methods may not achieve good performance when a limited number of training samples are provided. However, labeling sufficient samples of hyperspectral images to achieve adequate training is quite expensive and difficult. In this paper, we propose a novel sample pse...

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Bibliographic Details
Main Authors: Binge Cui, Jiandi Cui, Yan Lu, Nannan Guo, Maoguo Gong
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Remote Sensing
Subjects:
sparse representation
information entropy
pseudo-labeling
intrinsic image decomposition
hyperspectral image classification
Online Access:https://www.mdpi.com/2072-4292/12/4/664

Internet

https://www.mdpi.com/2072-4292/12/4/664

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