Hyperspectral Image Classification Via Spectral-Spatial Random Patches Network

Hyperspectral Image Classification Via Spectral-Spatial Random Patches Network

Hyperspectral imageclassification is one of the most important steps in HSI analysis and challenging task for hyperspectral data processing, hyperspectral image contains rich spatial and spectral information. The abundance of spectral and spatial information is helpful to improve the classification...

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Bibliographic Details
Main Authors:	Chunbo Cheng, Hong Li, Jiangtao Peng, Wenjing Cui, Liming Zhang
Format:	Article
Language:	English
Published:	IEEE 2021-01-01
Series:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:	Deep learning hyperspectral image classification local binary pattern random patches network
Online Access:	https://ieeexplore.ieee.org/document/9416772/

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