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混合U-net-INR网络用于高精度稀疏电磁地图重建.

Wanqing Wu1, Baoguo Yu1, He Dong1

  • 1The 54th Research Institute, China Electronics Technology Group Corporation (CETC), Shijiazhuang 050081, China.

iScience
|February 20, 2026
PubMed
概括

从稀疏的数据中重建电磁地图是具有挑战性的. 我们的混合U-Net-隐性神经表示 (INR) 算法实现了高精度的电磁环境映射,即使采样有限.

关键词:
计算机科学 计算机科学地球科学 地球科学工程 工程师 工程师 工程师

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