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Multi-Head Graph Attention Adversarial Autoencoder Network for Unsupervised Change Detection Using Heterogeneous Remote Sensing Images

Heterogeneous remote sensing images, acquired from different sensors, exhibit significant variations in data structure, resolution, and radiometric characteristics. These inherent heterogeneities present substantial challenges for change detection, a task that involves identifying changes in a targe...

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Principais autores: Meng Jia, Xiangyu Lou, Zhiqiang Zhao, Xiaofeng Lu, Zhenghao Shi
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2025-07-01
Serier:Remote Sensing
Fag:
domain transformation
graph attention
unsupervised change detection
heterogeneous remote sensing images
Online adgang:https://www.mdpi.com/2072-4292/17/15/2581
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