Wavelet Analysis for Wind Fields Estimation

Sensors

Gladeston C. Leite²  Daniela M. Ushizima¹  Fátima N. S. Medeiros² 

[1] Math and Visualization Groups, Lawrence Berkeley National Laboratory–LNBL, Berkeley, CA 94117, USA;Teleinformatics Engineering Department, Federal University of Ceará, Fortaleza, CE 60455-970, Brazil; E-Mails:

关键词: SAR;    wind direction;    FFT;    CMOD4;    wind speed;   

DOI  :  10.3390/s100605994

来源: mdpi

【 摘 要 】

Wind field analysis from synthetic aperture radar images allows the estimation of wind direction and speed based on image descriptors. In this paper, we propose a framework to automate wind direction retrieval based on wavelet decomposition associated with spectral processing. We extend existing undecimated wavelet transform approaches, by including à trous with B₃ spline scaling function, in addition to other wavelet bases as Gabor and Mexican-hat. The purpose is to extract more reliable directional information, when wind speed values range from 5 to 10 ms⁻¹. Using C-band empirical models, associated with the estimated directional information, we calculate local wind speed values and compare our results with QuikSCAT scatterometer data. The proposed approach has potential application in the evaluation of oil spills and wind farms.

【 授权许可】

CC BY   
© 2010 by the authors; licensee MDPI, Basel, Switzerland.