Jul 31, 2019 · In this study, an end-to-end alternately updated spectral–spatial convolutional network (AUSSC) with a recurrent feedback structure is used to ...
Alternately Updated Spectral–Spatial Convolution Network for the Classification of Hyperspectral Images. Language: English; Authors: Wang, Wenju1. Dou ...
PDF | The connection structure in the convolutional layers of most deep learning-based algorithms used for the classification of hyperspectral images.
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An alternately updated spectral–spatial convolutional network is proposed for HSI classification. Fig. 1 shows an overview of the proposed method. For HSI data ...
Alternately Updated Spectral–Spatial Convolution Network for the Classification of Hyperspectral Images. ... Classification of Hyperspectral Images. Remote ...
In this study, an end-to-end alternately updated spectral–spatial convolutional network (AUSSC) with a recurrent feedback structure is used to learn refin...
1) We propose a novel multiscale cross-fusion deep learning framework for HSI classification. Multiscale spatial–spectral information is fully explored by the ...
Alternately updated spectral–spatial convolution network for the classification of hyperspectral images. Remote Sens., 11 (15) (2019), p. 1794. Google Scholar.
May 31, 2024 · An enhanced 3D convolutional neural network was proposed for tree species classification, utilizing raw data from aerial hyperspectral images as ...
Aug 5, 2021 · This article suggests a novel framework with lesser number of layers for hyperspectral image classification (HSIC) that takes into account ...