Enhancing Binary Convolutional Neural Networks for Hyperspectral Image Classification

Enhancing Binary Convolutional Neural Networks for Hyperspectral Image Classification

Hyperspectral remote sensing technology is swiftly evolving, prioritizing affordability, enhanced portability, seamless integration, sophisticated intelligence, and immediate processing capabilities. The leading model for classifying hyperspectral images, which relies on convolutional neural network...

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Bibliographic Details
Main Authors:	Xuebin Tang, Ke Zhang, Xiaolei Zhou, Lingbin Zeng, Shan Huang
Format:	Article
Language:	English
Published:	MDPI AG 2024-11-01
Series:	Remote Sensing
Subjects:	remote sensing hyperspectral image classification binary neural network convolutional neural network dynamic curriculum learning pyramid squeeze attention
Online Access:	https://www.mdpi.com/2072-4292/16/23/4398
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