Image classification of hyperspectral remote sensing using semi-supervised learning algorithm

Image classification of hyperspectral remote sensing using semi-supervised learning algorithm

Hyperspectral images contain abundant spectral and spatial information of the surface of the earth, but there are more difficulties in processing, analyzing, and sample-labeling these hyperspectral images. In this paper, local binary pattern (LBP), sparse representation and mixed logistic regression...

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Bibliographic Details
Main Authors: Ansheng Ye, Xiangbing Zhou, Kai Weng, Yu Gong, Fang Miao, Huimin Zhao
Format: Article
Language:English
Published: AIMS Press 2023-05-01
Series:Mathematical Biosciences and Engineering
Subjects:
hyperspectral remote sensing image
local binary pattern
sparse representation
mixed logistic regression
neighborhood information
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023510?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2023510?viewType=HTML

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