Deep clustering using 3D attention convolutional autoencoder for hyperspectral image analysis

Deep clustering has been widely applicated in various fields, including natural image and language processing. However, when it is applied to hyperspectral image (HSI) processing, it encounters challenges due to high dimensionality of HSI and complex spatial-spectral characteristics. This study intr...

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Veröffentlicht in:	Scientific reports Jg. 14; H. 1; S. 4209 - 13
Hauptverfasser:	Zheng, Ziyou, Zhang, Shuzhen, Song, Hailong, Yan, Qi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 20.02.2024 Nature Publishing Group Nature Portfolio
Schlagworte:	639/705/117 639/705/258 Algorithms Classification Clustering Data reduction Deep learning Embedding Humanities and Social Sciences Image processing multidisciplinary Neural networks Principal components analysis Science Science (multidisciplinary)
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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