Enhancing Echo Processing Through the Integration of Support Vector Machine and Weber's Law Descriptors

Mehdia Hedir, Fethi Demim, Ali Messaoui, Aimen Messaoui, Hadjira Belaidi, Abdenebi Rouigueb, Abdelkrim Nemra

2024

Abstract

Removing ground echoes from weather radar images is a topic of great importance due to their significant impact on the accuracy of processed data. To address this challenge, we aim to develop methods that effectively eliminate ground echoes while preserving the precipitation, which is a crucial meteorological parameter. To accomplish this, we propose to test Local Descriptors based on Weber’s law (WLD), as well as descriptors that combine Weber’s law with Local Binary Pattern (WLBP), using Support Vector Machine (SVM) classifiers to automate the recognition of both types of echoes. The proposed methods are rigorously tested at the sites of Setif and Bordeaux to evaluate their effectiveness in accurately identifying the ground echoes and precipitation. The results of our experiments demonstrate that the proposed techniques are highly effective in eliminating ground echoes while preserving the precipitation, and can be considered satisfactory for practical applications in meteorological data processing.

Paper Citation

in Harvard Style

Hedir M., Demim F., Messaoui A., Messaoui A., Belaidi H., Rouigueb A. and Nemra A. (2024). Enhancing Echo Processing Through the Integration of Support Vector Machine and Weber's Law Descriptors. In Proceedings of the 14th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH; ISBN 978-989-758-708-5, SciTePress, pages 19-26. DOI: 10.5220/0012682700003758

in Bibtex Style

@conference{simultech24,
author={Mehdia Hedir and Fethi Demim and Ali Messaoui and Aimen Messaoui and Hadjira Belaidi and Abdenebi Rouigueb and Abdelkrim Nemra},
title={Enhancing Echo Processing Through the Integration of Support Vector Machine and Weber's Law Descriptors},
booktitle={Proceedings of the 14th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH},
year={2024},
pages={19-26},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012682700003758},
isbn={978-989-758-708-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH
TI - Enhancing Echo Processing Through the Integration of Support Vector Machine and Weber's Law Descriptors
SN - 978-989-758-708-5
AU - Hedir M.
AU - Demim F.
AU - Messaoui A.
AU - Messaoui A.
AU - Belaidi H.
AU - Rouigueb A.
AU - Nemra A.
PY - 2024
SP - 19
EP - 26
DO - 10.5220/0012682700003758
PB - SciTePress