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Updated: Jan 7, 2026

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CSA-Kansformer:跨尺度聚合和Kansformer网络用于高光谱图像分类

Xiaoqing Wan1, Feng Chen2, Dongtao Mo2

  • 1Hengyang Normal University, College of Computer Science and Technology, Hengyang, 421002, China; Hunan Provincial Key Laboratory of Intelligent Information Processing and Application, Hengyang, 421002, China.

Neural networks : the official journal of the International Neural Network Society
|December 31, 2025
PubMed
概括

通过整合空间光谱特征提取和高效的变压器架构,CSA-Kansformer模型增强了高光谱图像 (HSI) 分类. 这种新的方法提高了遥感应用的精度和计算效率.

关键词:
分类 分类 分类 分类.双分支机构的注意力机制超光谱图像 (HSI) 是一种超光谱图像.多尺度空间光谱特征融合多尺度空间特征融合变压器变压器变压器

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