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...

Full description

Bibliographic Details

Published in:	Scientific reports Vol. 14; no. 1; pp. 4209 - 13
Main Authors:	Zheng, Ziyou, Zhang, Shuzhen, Song, Hailong, Yan, Qi
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 20.02.2024 Nature Publishing Group Nature Portfolio
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!