Title :
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
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;
Conference_Titel :
Signals, Systems and Computers, 2004. Conference Record of the Thirty-Eighth Asilomar Conference on
Print_ISBN :
0-7803-8622-1
DOI :
10.1109/ACSSC.2004.1399077