Rethinking 3D-CNN in Hyperspectral Image Super-Resolution

Recently, CNN-based methods for hyperspectral image super-resolution (HSISR) have achieved outstanding performance. Due to the multi-band property of hyperspectral images, 3D convolutions are natural candidates for extracting spatial–spectral correlations. However, pure 3D CNN models are rare to see...

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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Ziqian Liu, Wenbing Wang, Qing Ma, Xianming Liu, Junjun Jiang
Format:	Article
Language:	English
Published:	MDPI AG 2023-05-01
Subjects:	3D convolution hyperspectral image super-resolution convolutional neural network
Online Access:	https://www.mdpi.com/2072-4292/15/10/2574