分析
这项研究介绍了一种激动人心的高光谱图像分类新方法! 通过结合创新的 mHC 框架和聚类引导的 Mamba 模块,该研究承诺增强空间-光谱特征学习并提高模型的可解释性。 使用具有物理意义的光谱波段分组进一步提升了这种方法,使其成为该领域令人兴奋的进步。
引用 / 来源
查看原文"本文提出了一种用于增强 HSI 分类的聚类引导的 mHC Mamba 模型 (mHC-HSI),并具有以下贡献。"
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"本文提出了一种用于增强 HSI 分类的聚类引导的 mHC Mamba 模型 (mHC-HSI),并具有以下贡献。"
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