Multi-Scale Spectral-Spatial Attention Network for Hyperspectral Image Classification Combining 2D Octave and 3D Convolutional Neural Networks

Traditional convolutional neural networks (CNNs) can be applied to obtain the spectral-spatial feature information from hyperspectral images (HSIs). However, they often introduce significant redundant spatial feature information. The octave convolution network is frequently utilized instead of tradi...

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Autori principali:	Lianhui Liang, Shaoquan Zhang, Jun Li, Antonio Plaza, Zhi Cui
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2023-03-01
Serie:	Remote Sensing
Soggetti:	hyperspectral images (HSIs) deep learning convolutional neural networks (CNNs) 2D octave convolution DenseNet
Accesso online:	https://www.mdpi.com/2072-4292/15/7/1758
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