Gust front detection in weather radar images by entropy matched functional template

Author

Alkhouli, Osama ; DeBrunner, Victor

Author_Institution

Sch. of Electr. Eng. & Comput. Sci., Oklahoma Univ., Norman, OK, USA

Volume

1

fYear

2004

fDate

7-10 Nov. 2004

Firstpage

18

Abstract

We describe a new gust front detection method using functional template correction (FTC) and entropy. The new method provides better boundaries than does a previously developed method by Victor DeBrunner et al. (2003). Our proposed method described in this paper requires only one template for detection, thereby reducing the computational complexity and so yielding an algorithm that is more suitable for real time detection than that previously developed one.

Keywords

atmospheric techniques; computational complexity; entropy; geophysical signal processing; meteorological radar; radar detection; radar imaging; real-time systems; thunderstorms; wind; FTC; computational complexity; entropy matched functional template; gust front detection; real time detection; weather radar image; Computational complexity; Doppler radar; Entropy; Histograms; Meteorological radar; Radar detection; Radar imaging; Reflectivity; Signal processing; Tornadoes;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 2004. Conference Record of the Thirty-Eighth Asilomar Conference on

Print_ISBN

0-7803-8622-1

Type

conf

DOI

10.1109/ACSSC.2004.1399077

Filename

1399077