Classification of hyperspectral images based on fused 3D inception and 3D-2D hybrid convolution
A new hyperspectral image classification algorithm based on deep learning is constructed to solve the problems of redundant band information, neglect of local details, and insufficient spatial and spectral feature extraction in hyperspectral image classification tasks. The model uses the improved 3D...
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Veröffentlicht in: | Signal, image and video processing image and video processing, 2024-06, Vol.18 (4), p.3031-3041 |
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