Remote Sensing Image Change Detection Based on Lightweight Transformer and Multiscale Feature Fusion

As deep learning demonstrates excellent performance in remote sensing image change detection (CD), early methods that mostly used convolutional neural networks (CNNs) have limitations in the accuracy due to their insufficient global feature representation, an inherent shortcoming of CNNs. The lack o...

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Hlavní autoři:	Jingming Li, Panpan Zheng, Liejun Wang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2025-01-01
Edice:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Témata:	Change detection (CD) convolutional neural network (CNN) remote sensing (RS) transformer
On-line přístup:	https://ieeexplore.ieee.org/document/10839538/
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