Global and pyramid convolutional neural network with hybrid attention mechanism for hyperspectral image classification
Author:
Affiliation:
1. College of Geophysics, Chengdu University of Technology, Chengdu, China
Publisher
Informa UK Limited
Subject
Water Science and Technology,Geography, Planning and Development
Link
https://www.tandfonline.com/doi/pdf/10.1080/10106049.2023.2226112
Reference49 articles.
1. Deep 3D convolutional network combined with spatial-spectral features for hyperspectral image classification;Bing L;Acta Geod Cartogr Sinica,2019
2. Dynamic Convolution: Attention Over Convolution Kernels
3. Multiscale Graph Sample and Aggregate Network With Context-Aware Learning for Hyperspectral Image Classification
4. Weighted Feature Fusion of Convolutional Neural Network and Graph Attention Network for Hyperspectral Image Classification
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1. A frequency and topology interaction network for hyperspectral image classification;Engineering Applications of Artificial Intelligence;2024-07
2. Application of Convolutional Neural Networks for Automated Land Cover Mapping Using Hyper Spectral Imagery;2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC);2024-01-29
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