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GitHub - manila95/BASS-Net: Band-Adaptive Spectral-Spatial Feature Learning Deep Neural Network for Hyperspectral Image Classification
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Adaptive spectral-spatial feature fusion network for hyperspectral image classification using limited training samples - ScienceDirect
Hyperspectral imagery classification based on semi-supervised 3-D deep neural network and adaptive band selection - ScienceDirect
Adaptive spectral-spatial feature fusion network for hyperspectral image classification using limited training samples - ScienceDirect
GitHub - Li-Qingyun/Spa-Spe-TR: [GRSL 2022] Official implementation of Two-Branch Pure Transformer for Hyperspectral Image Classification.
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GitHub - MeiShaohui/Sensor-Specific-Hyperspectral-Image-Feature-Learning: Learning Sensor-Specific Spatial-Spectral Features of Hyperspectral Images via Convolutional Neural Networks
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Adaptive spectral-spatial feature fusion network for hyperspectral image classification using limited training samples - ScienceDirect
Analysis of Hyperspectral Image Denoising Using Deep Neural Network (DNN) Models
SWTNet: hyperspectral image classification using two-stage combined shallow and deep feature extraction
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S2WaveNet: A novel spectral–spatial wave network for hyperspectral image classification - ScienceDirect
Morphologically dilated convolutional neural network for hyperspectral image classification - ScienceDirect
Adaptive spectral-spatial feature fusion network for hyperspectral image classification using limited training samples - ScienceDirect
A versatile deep learning architecture for classification and label-free prediction of hyperspectral images
