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

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

Abstract 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 s...

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Bibliographic Details
Main Authors:	Ziyou Zheng, Shuzhen Zhang, Hailong Song, Qi Yan
Format:	Article
Language:	English
Published:	Nature Portfolio 2024-02-01
Series:	Scientific Reports
Online Access:	https://doi.org/10.1038/s41598-024-54547-2

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