A Hyperspectral Image Classification Method Based on Weight Wavelet Kernel Joint Sparse Representation Ensemble and β-Whale Optimization Algorithm

A Hyperspectral Image Classification Method Based on Weight Wavelet Kernel Joint Sparse Representation Ensemble and β-Whale Optimization Algorithm

Joint sparse representation (JSR) is a commonly used classifier that recognizes different objects with core features extracted from images. However, the generalization ability is weak for the traditional linear kernel, and the objects with similar feature values associated with different categories...

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Bibliographic Details
Main Authors: Mingwei Wang, Zitong Jia, Jianwei Luo, Maolin Chen, Shuping Wang, Zhiwei Ye
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
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ensemble learning
hyperspectral image (HSI) classification
joint sparse representation (JSR)
wavelet kernel
weight setting
Online Access:https://ieeexplore.ieee.org/document/9345341/

Internet

https://ieeexplore.ieee.org/document/9345341/

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