Obstruction detection and recovery in weather radar images using deep learning

Shuhao Liu

doi:10.1117/12.3029064

22 May 2024 Obstruction detection and recovery in weather radar images using deep learning

Shuhao Liu

Proceedings Volume 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023); 131760J (2024) https://doi.org/10.1117/12.3029064
Event: Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 2023, Hangzhou, China

Abstract

Obstruction is one of the significant sources of errors impacting the quality of weather radar observations. During the radar's operation, it encounters obstructions from terrains and tall buildings. These obstructions interfere with the radar signal's propagation and reception, leading to incomplete or inaccurate meteorological data in certain areas. In this paper, we introduce a novel approach, termed DOR, which initially detects obstruction masks and then recovers these regions using deep learning. Specifically, we incorporate DenseASPP into the final layer of the Unet encoder network, enriching the feature maps post-convolution with comprehensive spatial-semantic information. This design ensures that the encoder extracts highly-correlated contour detail features from the lower layers, achieving precise segmentation and localization of the target. Subsequently, we utilize generative adversarial networks (GAN) to recover the obscured areas. Extensive experiments on real weather radar images demonstrate that our proposed DOR method can effectively detect and recover.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Shuhao Liu "Obstruction detection and recovery in weather radar images using deep learning", Proc. SPIE 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 131760J (22 May 2024); https://doi.org/10.1117/12.3029064

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Image segmentation

Radar

Education and training

Image restoration

Radar sensor technology

Deep learning

Semantics

Show All Keywords

Keywords/Phrases

Search In:

Publication Years