Multifractal and directional wavelet analysis for accurate detection of precipitation events in weather radar images

A. Alsamman; R. Dahale; Dimitrios Charalampidis

doi:10.1117/12.781834

17 March 2008 Multifractal and directional wavelet analysis for accurate detection of precipitation events in weather radar images

A. Alsamman, R. Dahale, Dimitrios Charalampidis

Author Affiliations +

Proceedings Volume 6977, Optical Pattern Recognition XIX; 69770I (2008) https://doi.org/10.1117/12.781834
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

In this paper, we propose the use of directional Gabor filtering and multifractal analysis based quality control (QC) to provide accurate identification of precipitation in weather data collected from meteorological-radar volume scans. The QC algorithm is an objective algorithm that minimizes human interaction. The algorithm utilizes both textural and intensity information obtained from the two lower-elevation reflectivity maps. Computer simulations are provided to show the effectiveness of this algorithm.

Citation Download Citation

A. Alsamman, R. Dahale, and Dimitrios Charalampidis "Multifractal and directional wavelet analysis for accurate detection of precipitation events in weather radar images", Proc. SPIE 6977, Optical Pattern Recognition XIX, 69770I (17 March 2008); https://doi.org/10.1117/12.781834

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