Multi-dimensional, multi-branch hyperspectral remote sensing image classification with limited training samples

Deep learning-based hyperspectral remote sensing image classification methods are currently a research hotspot. However, they suffer from issues such as large feature network parameter size, complex calculations, and the need for a large number of training data to achieve good classification results...

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