DocumentCode
442541
Title
Gust front detection in weather radar images by entropy matched functional template
Author
Alkhouli, Osama ; DeBrunner, Victor
Author_Institution
Sch. of Electr. & Comput. Eng., Oklahoma Univ., Norman, OK, USA
Volume
1
fYear
2005
fDate
11-14 Sept. 2005
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 our group (V. DeBrunner and E. Matusiak, 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
computational complexity; entropy; radar imaging; remote sensing by radar; weather forecasting; computational complexity reduction; entropy matched functional template; functional template correction; gust front detection; weather radar images; Computational complexity; Doppler radar; Entropy; Histograms; Meteorological radar; Radar detection; Radar imaging; Reflectivity; Signal processing; Tornadoes;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN
0-7803-9134-9
Type
conf
DOI
10.1109/ICIP.2005.1529833
Filename
1529833
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