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HETMCL:高频增强变压器和远程传感场景分类的多层上下文学习网络

Haiyan Xu1,2,3,4, Yanni Song5, Gang Xu1,2,3,6

  • 1Zhejiang College of Security Technology, Wenzhou 325000, China.

Sensors (Basel, Switzerland)
|June 27, 2025
PubMed
概括

本研究介绍了一种高频增强视觉转换器和多层上下文学习 (HETMCL) 方法,用于遥感场景分类. HETMCL有效地捕捉了高频细节和低频环境,实现了最先进的结果.

关键词:
卷积神经网络 (CNN) 是一种神经网络.远程传感场景分类 (RSSC) 技术变压器变压器变压器变压器

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