首页|期刊导航|大数据挖掘与分析(英文版)|MW-UNet:Multi-Scale Weighted Connection UNet for Identification and Classification of Non-Meteorological Clutter over Big Radar Data
大数据挖掘与分析(英文版)2025,Vol.8Issue(1):65-77,13.DOI:10.26599/BDMA.2024.9020032
MW-UNet:Multi-Scale Weighted Connection UNet for Identification and Classification of Non-Meteorological Clutter over Big Radar Data
MW-UNet:Multi-Scale Weighted Connection UNet for Identification and Classification of Non-Meteorological Clutter over Big Radar Data
摘要
关键词
deep learning/non-meteorological echo/polarimetric Doppler radar/polarization parameters/UNet architecture/attention mechanismKey words
deep learning/non-meteorological echo/polarimetric Doppler radar/polarization parameters/UNet architecture/attention mechanism引用本文复制引用
Mengmeng Cui,Chen Zeng,Xiaolong Xu,Muhammad Bilal,Xiaoyu Xia..MW-UNet:Multi-Scale Weighted Connection UNet for Identification and Classification of Non-Meteorological Clutter over Big Radar Data[J].大数据挖掘与分析(英文版),2025,8(1):65-77,13.基金项目
This work was supported by the National Key Research and Development Program of China(International Technology Cooperation Project,No.2021YFE014400)and the China Meteorological Service Association Meteorological Technology Innovation Platform General Project(No.CMSA2023MD004). (International Technology Cooperation Project,No.2021YFE014400)