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Spatial-spectral collaborative attention network for hyperspectral unmixing

In recent years, the transformer architecture has demonstrated exceptional feature extraction capabilities in the field of computer vision (CV). Building on this, our paper aims to fully exploit the potential of the attention in transformers and apply it to the task of hyperspectral unmixing (HU). W...

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Principais autores: Xiaojie Chen, Fanlei Meng, Ye Mo, Haixin Sun
פורמט: Artigo
שפה:Inglês
יצא לאור: Taylor & Francis Group 2024-01-01
סדרה:Geocarto International
נושאים:
Hyperspectral unmixing
transformer
self-cross attention
spatial-spectral domain information
גישה מקוונת:https://www.tandfonline.com/doi/10.1080/10106049.2024.2417919
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