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
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;
Conference_Titel :
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN :
0-7803-9134-9
DOI :
10.1109/ICIP.2005.1529833