Study on Radar Echo-Filling in an Occlusion Area by a Deep Learning Algorithm

Study on Radar Echo-Filling in an Occlusion Area by a Deep Learning Algorithm

Radar beam blockage is an important error source that affects the quality of weather radar data. An echo-filling network (EFnet) is proposed based on a deep learning algorithm to correct the echo intensity under the occlusion area in the Nanjing S-band new-generation weather radar (CINRAD/SA). The t...

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Bibliographic Details
Main Authors: Xiaoyan Yin, Zhiqun Hu, Jiafeng Zheng, Boyong Li, Yuanyuan Zuo
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Remote Sensing
Subjects:
deep learning
weather radar
beam blockage
echo-filling
Online Access:https://www.mdpi.com/2072-4292/13/9/1779

Internet

https://www.mdpi.com/2072-4292/13/9/1779

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