SSATNet: Spectral-spatial attention transformer for hyperspectral corn image classification

SSATNet: Spectral-spatial attention transformer for hyperspectral corn image classification

Hyperspectral images are rich in spectral and spatial information, providing a detailed and comprehensive description of objects, which makes hyperspectral image analysis technology essential in intelligent agriculture. With various corn seed varieties exhibiting significant internal structural diff...

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Bibliographic Details
Main Authors:	Bin Wang, Gongchao Chen, Juan Wen, Linfang Li, Songlin Jin, Yan Li, Ling Zhou, Weidong Zhang
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-01-01
Series:	Frontiers in Plant Science
Subjects:	corn identification hyperspectral image classification deep learning morphology image classification
Online Access:	https://www.frontiersin.org/articles/10.3389/fpls.2024.1458978/full
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