Bipartite adversarial autoencoder network for unsupervised detection of changes in heterogeneous remote sensing images

Meng Jia; Qin Zhao; Xiaofeng Lu

doi:10.11834/jig.230497

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Bipartite adversarial autoencoder network for unsupervised detection of changes in heterogeneous remote sensing images

Meng Jia Qin Zhao Xiaofeng Lu

Year: 2024 Journal: Journal of Image and Graphics Vol: 29 (8)Pages: 2188-2204 Publisher: University of Portsmouth

DOI: 10.11834/jig.230497

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Keywords:

Autoencoder Bipartite graph Adversarial system Computer science Artificial intelligence Pattern recognition (psychology) Deep learning Computer vision Theoretical computer science Graph

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Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Advanced Image Fusion Techniques

Physical Sciences → Engineering → Media Technology

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Bipartite adversarial autoencoder network for unsupervised detection of changes in heterogeneous remote sensing images

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