Superpixel-Based Dual-Neighborhood Contrastive Graph Autoencoder for Deep Subspace Clustering of Hyperspectral Image

Junhong Li; Renxiang Guan; Yuhang Han; Yaowen Hu; Zihao Li; Yan Yan Wu; Ziwei Xu; Xianju Li

doi:10.1007/978-981-97-5597-4_16

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Superpixel-Based Dual-Neighborhood Contrastive Graph Autoencoder for Deep Subspace Clustering of Hyperspectral Image

Junhong Li Renxiang Guan Yuhang Han Yaowen Hu Zihao Li Yan Yan Wu Ziwei Xu Xianju Li

Year: 2024 Lecture notes in computer science Pages: 181-192 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-97-5597-4_16

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Keywords:

Autoencoder Hyperspectral imaging Computer science Subspace topology Artificial intelligence Dual (grammatical number) Pattern recognition (psychology) Graph Cluster analysis Dual graph Computer vision Deep learning Theoretical computer science

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Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Advanced Image Fusion Techniques

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Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Superpixel-Based Dual-Neighborhood Contrastive Graph Autoencoder for Deep Subspace Clustering of Hyperspectral Image

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