Lightweight Multilevel Feature Fusion Network for Hyperspectral Image Classification

Hyperspectral images (HSIs), acquired as a 3D data set, contain spectral and spatial information that is important for ground–object recognition. A 3D convolutional neural network (3DCNN) could therefore be more suitable than a 2D one for extracting multiscale neighborhood information in the spectra...

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Auteurs principaux:	Miaomiao Liang, Huai Wang, Xiangchun Yu, Zhe Meng, Jianbing Yi, Licheng Jiao
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2021-12-01
Collection:	Remote Sensing
Sujets:	hyperspectral image (HSI) classification 3D convolution lightweight network target-guided fusion multilevel feature fusion
Accès en ligne:	https://www.mdpi.com/2072-4292/14/1/79
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