Developing robust model for retrieving sea surface current from RADARSAT-1 SAR satelite data
This paper introduces a new approach for retrieving sea surface current from RADARSAT-1 SAR standard beam mode (S2) data. In doing so, the robu st algorithm that involves the wavelength diversity ambiguity resolving (WDAR) and multi look beat freq uency (MLBF) algorithms was...
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| Format: | Article |
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Academic Journals
2011
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| _version_ | 1796858632235646976 |
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| author | Marghany, Maged |
| author_facet | Marghany, Maged |
| author_sort | Marghany, Maged |
| collection | ePrints |
| description | This paper introduces a new approach for retrieving sea surface current from RADARSAT-1 SAR standard beam mode (S2) data. In doing so, the robu st algorithm that involves the wavelength diversity ambiguity resolving (WDAR) and multi look beat freq uency (MLBF) algorithms was used to remove Doppler Centroid ambiguity. The result shows that t he proposed robust algorithm can acquire accurate Doppler Centroid and fine spatial sea surface curre nt variations in RADARSAT-1 SAR standard beam mode (S2) data. The current velocities ranged betwe en 0.18 and 0.78 m/s. In conclusion, RADARSAT-1 SAR S2 mode data can be used to retrieve sea surfac e current with root mean square error (RMSE) of ± 0.11 m/s. Both WDAR and MLBF algorithms can provide accurate information on Doppler Centroid which can acquire accurately sea surface current pa ttern in RADARRSAT-1 SAR image. |
| first_indexed | 2024-03-05T19:15:20Z |
| format | Article |
| id | utm.eprints-44849 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T19:15:20Z |
| publishDate | 2011 |
| publisher | Academic Journals |
| record_format | dspace |
| spelling | utm.eprints-448492017-09-14T07:11:13Z http://eprints.utm.my/44849/ Developing robust model for retrieving sea surface current from RADARSAT-1 SAR satelite data Marghany, Maged GC Oceanography This paper introduces a new approach for retrieving sea surface current from RADARSAT-1 SAR standard beam mode (S2) data. In doing so, the robu st algorithm that involves the wavelength diversity ambiguity resolving (WDAR) and multi look beat freq uency (MLBF) algorithms was used to remove Doppler Centroid ambiguity. The result shows that t he proposed robust algorithm can acquire accurate Doppler Centroid and fine spatial sea surface curre nt variations in RADARSAT-1 SAR standard beam mode (S2) data. The current velocities ranged betwe en 0.18 and 0.78 m/s. In conclusion, RADARSAT-1 SAR S2 mode data can be used to retrieve sea surfac e current with root mean square error (RMSE) of ± 0.11 m/s. Both WDAR and MLBF algorithms can provide accurate information on Doppler Centroid which can acquire accurately sea surface current pa ttern in RADARRSAT-1 SAR image. Academic Journals 2011-11 Article PeerReviewed Marghany, Maged (2011) Developing robust model for retrieving sea surface current from RADARSAT-1 SAR satelite data. International Journal of Physical Sciences, 6 (29). pp. 6630-6637. ISSN 1992-1950 |
| spellingShingle | GC Oceanography Marghany, Maged Developing robust model for retrieving sea surface current from RADARSAT-1 SAR satelite data |
| title | Developing robust model for retrieving sea surface current from RADARSAT-1 SAR satelite data |
| title_full | Developing robust model for retrieving sea surface current from RADARSAT-1 SAR satelite data |
| title_fullStr | Developing robust model for retrieving sea surface current from RADARSAT-1 SAR satelite data |
| title_full_unstemmed | Developing robust model for retrieving sea surface current from RADARSAT-1 SAR satelite data |
| title_short | Developing robust model for retrieving sea surface current from RADARSAT-1 SAR satelite data |
| title_sort | developing robust model for retrieving sea surface current from radarsat 1 sar satelite data |
| topic | GC Oceanography |
| work_keys_str_mv | AT marghanymaged developingrobustmodelforretrievingseasurfacecurrentfromradarsat1sarsatelitedata |