Classification of Hyperspectral Image Based on Double-Branch Dual-Attention Mechanism Network
Classification of Hyperspectral Image Based on Double-Branch Dual-Attention Mechanism Network
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Author / Creator
Li, Rui , Zheng, Shunyi , Duan, Chenxi , Yang, Yang and Wang, Xiqi
Publisher
MDPI AG
Journal title
Language
English
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Publisher
MDPI AG
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Contents
In recent years, researchers have paid increasing attention on hyperspectral image (HSI) classification using deep learning methods. To improve the accuracy and reduce the training samples, we propose a double-branch dual-attention mechanism network (DBDA) for HSI classification in this paper. Two branches are designed in DBDA to capture plenty of...
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Full title
Classification of Hyperspectral Image Based on Double-Branch Dual-Attention Mechanism Network
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TN_cdi_doaj_primary_oai_doaj_org_article_7f0026ff8bb047fcb62f26622e62a838
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7f0026ff8bb047fcb62f26622e62a838
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ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs12030582
