Weather Radar Super-Resolution Reconstruction Based on Residual Attention Back-Projection Network

Weather Radar Super-Resolution Reconstruction Based on Residual Attention Back-Projection Network

Convolutional neural networks (CNNs) have been utilized extensively to improve the resolution of weather radar. Most existing CNN-based super-resolution algorithms using PPI (Plan position indicator, which provides a maplike presentation in polar coordinates of range and angle) images plotted by rad...

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Bibliographic Details
Main Authors: Qiu Yu, Ming Zhu, Qiangyu Zeng, Hao Wang, Qingqing Chen, Xiangyu Fu, Zhipeng Qing
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Remote Sensing
Subjects:
super-resolution
radar echoes
weather radar
CNN
deep back-projection network
Online Access:https://www.mdpi.com/2072-4292/15/8/1999

Internet

https://www.mdpi.com/2072-4292/15/8/1999

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