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Proceedings Paper

Multifractal and directional wavelet analysis for accurate detection of precipitation events in weather radar images
Author(s): A. Alsamman; R. Dahale; Dimitrios Charalampidis
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Paper 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.

Paper Details

Date Published: 17 March 2008
PDF: 6 pages
Proc. SPIE 6977, Optical Pattern Recognition XIX, 69770I (17 March 2008); doi: 10.1117/12.781834
Show Author Affiliations
A. Alsamman, Univ. of New Orleans (United States)
R. Dahale, Univ. of New Orleans (United States)
Dimitrios Charalampidis, Univ. of New Orleans (United States)

Published in SPIE Proceedings Vol. 6977:
Optical Pattern Recognition XIX
David P. Casasent; Tien-Hsin Chao, Editor(s)

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