A Wavelet-Based Technique for Sea Wind Extraction from SAR Images
We present the follow-up of our previously published work, where we described a wavelet-based method to characterize the sea surface backscatter structures in Synthetic Aperture Radar (SAR) images. The method relies on the ability of the 2-D continuous wavelet technique to detect the spatial structu...
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| Veröffentlicht in: | IEEE transactions on geoscience and remote sensing 2008-10, Vol.46 (10), p.2983-2989 |
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| creator | Zecchetto, S. De Biasio, F. |
| description | We present the follow-up of our previously published work, where we described a wavelet-based method to characterize the sea surface backscatter structures in Synthetic Aperture Radar (SAR) images. The method relies on the ability of the 2-D continuous wavelet technique to detect the spatial structure of the Marine Atmospheric Boundary Layer (MABL) and to isolate wind-related cells and features. The analysis of the cells' geometry, molded by the radiometric characteristics of the sea surface, permits the identification of the wind direction inside the cells, due to the along-wind asymmetry of backscatter structures, and thus the computation of the wind speed through standard algorithms. Twenty-one SAR images (ERS-2 and Envisat ASAR Wide Swath) over the Mediterranean Sea have been analyzed, and the results are compared with satellite wind fields. The images cover a range of meteorological conditions from low to moderate winds. Comparison of the SAR-derived wind fields with those provided by satellite scatterometers indicates a good score of success (roughly 70%-80%). The developed methodology, once tested over an adequate number of images to derive statistically reliable results, could be routinely used to enrich SAR images with the wind field as well as to characterize the MABL in terms of size, distribution, and shape of the backscatter cells. |
| doi_str_mv | 10.1109/TGRS.2008.920967 |
| format | Article |
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The method relies on the ability of the 2-D continuous wavelet technique to detect the spatial structure of the Marine Atmospheric Boundary Layer (MABL) and to isolate wind-related cells and features. The analysis of the cells' geometry, molded by the radiometric characteristics of the sea surface, permits the identification of the wind direction inside the cells, due to the along-wind asymmetry of backscatter structures, and thus the computation of the wind speed through standard algorithms. Twenty-one SAR images (ERS-2 and Envisat ASAR Wide Swath) over the Mediterranean Sea have been analyzed, and the results are compared with satellite wind fields. The images cover a range of meteorological conditions from low to moderate winds. Comparison of the SAR-derived wind fields with those provided by satellite scatterometers indicates a good score of success (roughly 70%-80%). The developed methodology, once tested over an adequate number of images to derive statistically reliable results, could be routinely used to enrich SAR images with the wind field as well as to characterize the MABL in terms of size, distribution, and shape of the backscatter cells.</description><identifier>ISSN: 0196-2892</identifier><identifier>EISSN: 1558-0644</identifier><identifier>DOI: 10.1109/TGRS.2008.920967</identifier><identifier>CODEN: IGRSD2</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Algorithm design and analysis ; Algorithms ; Applied geophysics ; Atmospheric boundary layer ; Atmospheric waves ; Backscatter ; Backscattering ; Computational geometry ; Continuous wavelet transforms ; Earth sciences ; Earth, ocean, space ; Enrichment ; Exact sciences and technology ; Extraction ; Internal geophysics ; Marine ; Marine Atmospheric Boundary Layer (MABL) ; Meteorology ; Radar detection ; Satellite broadcasting ; Satellites ; Scatterometers ; Sea surface ; sea wind ; Surface waves ; Synthetic aperture radar ; Synthetic Aperture Radar (SAR) ; wavelets ; Wind</subject><ispartof>IEEE transactions on geoscience and remote sensing, 2008-10, Vol.46 (10), p.2983-2989</ispartof><rights>2008 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2008</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c456t-8d048934b7733e0f82d5595ab0c3c930d0731d53d058e3e14604cc985d4ef3c03</citedby><cites>FETCH-LOGICAL-c456t-8d048934b7733e0f82d5595ab0c3c930d0731d53d058e3e14604cc985d4ef3c03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4629501$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>310,311,315,781,785,790,791,797,23935,23936,25145,27929,27930,54763</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4629501$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=20796793$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Zecchetto, S.</creatorcontrib><creatorcontrib>De Biasio, F.</creatorcontrib><title>A Wavelet-Based Technique for Sea Wind Extraction from SAR Images</title><title>IEEE transactions on geoscience and remote sensing</title><addtitle>TGRS</addtitle><description>We present the follow-up of our previously published work, where we described a wavelet-based method to characterize the sea surface backscatter structures in Synthetic Aperture Radar (SAR) images. The method relies on the ability of the 2-D continuous wavelet technique to detect the spatial structure of the Marine Atmospheric Boundary Layer (MABL) and to isolate wind-related cells and features. The analysis of the cells' geometry, molded by the radiometric characteristics of the sea surface, permits the identification of the wind direction inside the cells, due to the along-wind asymmetry of backscatter structures, and thus the computation of the wind speed through standard algorithms. Twenty-one SAR images (ERS-2 and Envisat ASAR Wide Swath) over the Mediterranean Sea have been analyzed, and the results are compared with satellite wind fields. The images cover a range of meteorological conditions from low to moderate winds. Comparison of the SAR-derived wind fields with those provided by satellite scatterometers indicates a good score of success (roughly 70%-80%). 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(IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><scope>7SP</scope><scope>F28</scope><scope>7TG</scope><scope>KL.</scope></search><sort><creationdate>20081001</creationdate><title>A Wavelet-Based Technique for Sea Wind Extraction from SAR Images</title><author>Zecchetto, S. ; De Biasio, F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c456t-8d048934b7733e0f82d5595ab0c3c930d0731d53d058e3e14604cc985d4ef3c03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Algorithm design and analysis</topic><topic>Algorithms</topic><topic>Applied geophysics</topic><topic>Atmospheric boundary layer</topic><topic>Atmospheric waves</topic><topic>Backscatter</topic><topic>Backscattering</topic><topic>Computational geometry</topic><topic>Continuous wavelet transforms</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Enrichment</topic><topic>Exact sciences and technology</topic><topic>Extraction</topic><topic>Internal geophysics</topic><topic>Marine</topic><topic>Marine Atmospheric Boundary Layer (MABL)</topic><topic>Meteorology</topic><topic>Radar detection</topic><topic>Satellite broadcasting</topic><topic>Satellites</topic><topic>Scatterometers</topic><topic>Sea surface</topic><topic>sea wind</topic><topic>Surface waves</topic><topic>Synthetic aperture radar</topic><topic>Synthetic Aperture Radar (SAR)</topic><topic>wavelets</topic><topic>Wind</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zecchetto, S.</creatorcontrib><creatorcontrib>De Biasio, F.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Electronics & Communications Abstracts</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><jtitle>IEEE transactions on geoscience and remote sensing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zecchetto, S.</au><au>De Biasio, F.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Wavelet-Based Technique for Sea Wind Extraction from SAR Images</atitle><jtitle>IEEE transactions on geoscience and remote sensing</jtitle><stitle>TGRS</stitle><date>2008-10-01</date><risdate>2008</risdate><volume>46</volume><issue>10</issue><spage>2983</spage><epage>2989</epage><pages>2983-2989</pages><issn>0196-2892</issn><eissn>1558-0644</eissn><coden>IGRSD2</coden><abstract>We present the follow-up of our previously published work, where we described a wavelet-based method to characterize the sea surface backscatter structures in Synthetic Aperture Radar (SAR) images. The method relies on the ability of the 2-D continuous wavelet technique to detect the spatial structure of the Marine Atmospheric Boundary Layer (MABL) and to isolate wind-related cells and features. The analysis of the cells' geometry, molded by the radiometric characteristics of the sea surface, permits the identification of the wind direction inside the cells, due to the along-wind asymmetry of backscatter structures, and thus the computation of the wind speed through standard algorithms. Twenty-one SAR images (ERS-2 and Envisat ASAR Wide Swath) over the Mediterranean Sea have been analyzed, and the results are compared with satellite wind fields. The images cover a range of meteorological conditions from low to moderate winds. Comparison of the SAR-derived wind fields with those provided by satellite scatterometers indicates a good score of success (roughly 70%-80%). The developed methodology, once tested over an adequate number of images to derive statistically reliable results, could be routinely used to enrich SAR images with the wind field as well as to characterize the MABL in terms of size, distribution, and shape of the backscatter cells.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TGRS.2008.920967</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 0196-2892 |
| ispartof | IEEE transactions on geoscience and remote sensing, 2008-10, Vol.46 (10), p.2983-2989 |
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| language | eng |
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| subjects | Algorithm design and analysis Algorithms Applied geophysics Atmospheric boundary layer Atmospheric waves Backscatter Backscattering Computational geometry Continuous wavelet transforms Earth sciences Earth, ocean, space Enrichment Exact sciences and technology Extraction Internal geophysics Marine Marine Atmospheric Boundary Layer (MABL) Meteorology Radar detection Satellite broadcasting Satellites Scatterometers Sea surface sea wind Surface waves Synthetic aperture radar Synthetic Aperture Radar (SAR) wavelets Wind |
| title | A Wavelet-Based Technique for Sea Wind Extraction from SAR Images |
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