Wavelet Analysis for Wind Fields Estimation
AbstractWind 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. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Leite, G.C.; Ushizima, D.M.; Medeiros, F.N.S.; De Lima, G.G. Wavelet Analysis for Wind Fields Estimation. Sensors 2010, 10, 5994-6016.
Leite GC, Ushizima DM, Medeiros FNS, De Lima GG. Wavelet Analysis for Wind Fields Estimation. Sensors. 2010; 10(6):5994-6016.Chicago/Turabian Style
Leite, Gladeston C.; Ushizima, Daniela M.; Medeiros, Fátima N. S.; De Lima, Gilson G. 2010. "Wavelet Analysis for Wind Fields Estimation." Sensors 10, no. 6: 5994-6016.