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Journal of Engineering and Applied Sciences
Year: 2019 | Volume: 14 | Issue: 1 SI | Page No.: 3857-3859
DOI: 10.36478/jeasci.2019.3857.3859  
Rain Contaminated X-Band Radar Images Based Wind Direction Determination
I.V.S. Ramakrishna
 
Abstract: A two-dimensional group observational mode disintegration (2D-EEMD) based strategy is displayed to enhance wind heading recovery from rain-tainted X-band nautical radar ocean surface pictures. 2D-EEMD is first actualized to break down each rain-polluted radar picture into a few Iborn Mode work (IMF) parts. At that point, a symphonious capacity that is slightest squares fitted to the standard deviation of the main IMF part as an element of Azimuth is utilized to recover the wind heading. Radar and anemometer information gained in an ocean trial off the east shore of Canada under rain conditions are utilized to test the calculation. The outcome demonstrates that, contrasted with the customary bend fitting strategy, the proposed technique enhances the wind course brings about rain occasions, demonstrating a diminishment of in the Root-Mean-Square (RMS) distinction concerning the reference.
 
How to cite this article:
I.V.S. Ramakrishna , 2019. Rain Contaminated X-Band Radar Images Based Wind Direction Determination. Journal of Engineering and Applied Sciences, 14: 3857-3859.
DOI: 10.36478/jeasci.2019.3857.3859
URL: http://medwelljournals.com/abstract/?doi=jeasci.2019.3857.3859