Modification of wavelet transform approach for low-wind direction extraction
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...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2015
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| Online Access: | http://psasir.upm.edu.my/id/eprint/56328/1/Modification%20of%20wavelet%20transform%20approach%20for%20low-wind%20direction%20extraction.pdf |
| _version_ | 1825931394380988416 |
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| author | Mohamad Deros, Siti Noratiqah Asmat, Arnis Mansor, Shattri |
| author_facet | Mohamad Deros, Siti Noratiqah Asmat, Arnis Mansor, Shattri |
| author_sort | Mohamad Deros, Siti Noratiqah |
| collection | UPM |
| description | 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. |
| first_indexed | 2024-03-06T09:26:04Z |
| format | Conference or Workshop Item |
| id | upm.eprints-56328 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T09:26:04Z |
| publishDate | 2015 |
| publisher | IEEE |
| record_format | dspace |
| spelling | upm.eprints-563282017-07-31T09:01:40Z http://psasir.upm.edu.my/id/eprint/56328/ Modification of wavelet transform approach for low-wind direction extraction Mohamad Deros, Siti Noratiqah Asmat, Arnis Mansor, Shattri 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. IEEE 2015 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/56328/1/Modification%20of%20wavelet%20transform%20approach%20for%20low-wind%20direction%20extraction.pdf 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. . 10.1109/ICARES.2015.7429817 |
| spellingShingle | Mohamad Deros, Siti Noratiqah Asmat, Arnis Mansor, Shattri Modification of wavelet transform approach for low-wind direction extraction |
| title | Modification of wavelet transform approach for low-wind direction extraction |
| title_full | Modification of wavelet transform approach for low-wind direction extraction |
| title_fullStr | Modification of wavelet transform approach for low-wind direction extraction |
| title_full_unstemmed | Modification of wavelet transform approach for low-wind direction extraction |
| title_short | Modification of wavelet transform approach for low-wind direction extraction |
| title_sort | modification of wavelet transform approach for low wind direction extraction |
| url | http://psasir.upm.edu.my/id/eprint/56328/1/Modification%20of%20wavelet%20transform%20approach%20for%20low-wind%20direction%20extraction.pdf |
| work_keys_str_mv | AT mohamadderossitinoratiqah modificationofwavelettransformapproachforlowwinddirectionextraction AT asmatarnis modificationofwavelettransformapproachforlowwinddirectionextraction AT mansorshattri modificationofwavelettransformapproachforlowwinddirectionextraction |