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Updated: May 24, 2025

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双选择性融合变压器网络用于高光谱图像分类.

Yichu Xu1, Di Wang1, Lefei Zhang1

  • 1School of Computer Science, Wuhan University, Wuhan, 430072, PR China.

Neural networks : the official journal of the International Neural Network Society
|March 6, 2025
PubMed
概括

双选择性融合变压器网络 (DSFormer) 通过自适应地融合空间和光谱特征来增强高光谱图像 (HSI) 的分类. 这种新的方法可以提高各种HSI数据集的土地覆盖识别准确性.

关键词:
超光谱图像分类的分类方法感应场是一个感应场.专注于自己的注意力空间-光谱联合变压器变压器变压器

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