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

The field of weather forecasting makes extensive use of radar big data to extract information about precipitation, storms, lightning, and other weather phenomena to aid in the prediction and monitoring of weather changes. To improve the quality of radar data, machine learning and fuzzy logic algorit...

Full description

Saved in:
Bibliographic Details
Main Authors: Mengmeng Cui, Chen Zeng, Xiaolong Xu, Muhammad Bilal, Xiaoyu Xia
Format: Article
Language:English
Published: Tsinghua University Press 2025-02-01
Series:Big Data Mining and Analytics
Subjects:
deep learning
non-meteorological echo
polarimetric doppler radar
polarization parameters
unet architecture
attention mechanism
Online Access:https://www.sciopen.com/article/10.26599/BDMA.2024.9020032
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.sciopen.com/article/10.26599/BDMA.2024.9020032

Similar Items