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Hyperspectral Image Classification with the Orthogonal Self-Attention ResNet and Two-Step Support Vector Machine
1. Introduction Compared with traditional RGB images, hyperspectral images offer nanometre-level spectral resolution and the ability to capture information from hundreds of bands. This provides them with a more robust feature recognition capability and higher classification reliability. Hyperspectral images contain rich spatial and spectral radiation information, which makes them comprehensive carriers of multiple data types.
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