A Cross-Attention-Based Multi-Information Fusion Transformer for Hyperspectral Image Classification
In recent years, deep-learning-based classification methods have been widely used for hyperspectral images (HSIs). However, in the existing transformer-based HSI classification methods, how to effectively and comprehensively utilize the rich information still has room for improvement, for example, w...
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Veröffentlicht in: | IEEE journal of selected topics in applied earth observations and remote sensing 2024, Vol.17, p.13358-13375 |
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