UPM Institutional Repository

Modification of wavelet transform approach for low-wind direction extraction


Citation

Mohamad Deros, Siti Noratiqah and Asmat, Arnis and Mansor, Shattri (2015) Modification of wavelet transform approach for low-wind direction extraction. In: 2015 IEEE International Conference on Aerospace Electronics and Remote Sensing (ICARES 2015), 3-5 Dec. 2015, Discovery Kartika Plaza Hotel, Bali, Indonesia. .

Abstract

Regional wind possession that experienced low wind study gives challenged the researcher in recognizing high spatial behavior of wind. Current practices of wind direction retrieval involved the derivation of wavelet coefficient through wavelet decomposition and wavelet transform in Fourier window of satellite images. However, mentioned technique underestimate wind streak of low wind speed where most of the studies have focueds only at high wind speed area. This study aims to enhance wavelet decomposition through enhancement of multi resolution analysis. The images used in this study covered low wind speed area (3-5 m/s) and consist of two modes of RADARSAT-1 SAR images; Standard-2 and Wide-3 modes. Identification of the most suitable modes for low-wind direction extraction signifies the use of two types of modes. Fast Fourier Transform function was applied on wavelet coefficient window of RADARSAT-1 SAR data. The extension work was validated using Quikscat wind direction data and it agrees with the method with r-squared values of 0.6233 for Standard-2 and 0.6483 for Wide-3 images. The extension of the study has potential application in the extraction of wind direction in low wind speed area.


Download File

[img]
Preview
PDF (Abstract)
Modification of wavelet transform approach for low-wind direction extraction.pdf

Download (35kB) | Preview

Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.1109/ICARES.2015.7429817
Publisher: IEEE
Keywords: Fast-fourier transform (FFT); Low-wind speed; Multi-resolution analysis; RADARSAT-1 SAR; Wind direction
Depositing User: Nabilah Mustapa
Date Deposited: 31 Jul 2017 09:01
Last Modified: 31 Jul 2017 09:01
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ICARES.2015.7429817
URI: http://psasir.upm.edu.my/id/eprint/56328
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item