A Hyperspectral Change Detection (HCD-Net) Framework Based on Double Stream Convolutional Neural Networks and an Attention Module

Human activities and natural phenomena continually transform the Earth’s surface, presenting ongoing challenges to the environment. Therefore, the accurate and timely monitoring and prediction of these alterations are essential for devising effective solutions and mitigating environmental impacts in...

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Hlavní autoři:	Seyd Teymoor Seydi, Mahboubeh Boueshagh, Foad Namjoo, Seyed Mohammad Minouei, Zahir Nikraftar, Meisam Amani
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2024-02-01
Edice:	Remote Sensing
Témata:	land cover analysis remote sensing change detection hyperspectral deep learning convolutional neural networks (CNN)
On-line přístup:	https://www.mdpi.com/2072-4292/16/5/827
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