HANet: A Hierarchical Attention Network for Change Detection With Bitemporal Very-High-Resolution Remote Sensing Images

Benefiting from the developments in deep learning technology, deep-learning-based algorithms employing automatic feature extraction have achieved remarkable performance on the change detection (CD) task. However, the performance of existing deep-learning-based CD methods is hindered by the imbalance...

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Bibliografische gegevens

Hoofdauteurs:	Chengxi Han, Chen Wu, Haonan Guo, Meiqi Hu, Hongruixuan Chen
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	IEEE 2023-01-01
Reeks:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Onderwerpen:	Attention mechanism change detection (CD) convolutional Siamese network remote sensing (RS) image very-high-resolution (VHR)
Online toegang:	https://ieeexplore.ieee.org/document/10093022/
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