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Ocean Wave Inversion Based on Airborne IRA Images
The interferometric radar altimeter (IRA) is one of the main payloads of the "Guanlan" ocean science satellite proposed by the National Laboratory for Marine Science and Technology of China. To evaluate the effectiveness and accuracy of the IRA in retrieving the ocean dynamic parameters, s...
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| Published in: | IEEE transactions on geoscience and remote sensing 2022, Vol.60, p.1-13 |
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| container_title | IEEE transactions on geoscience and remote sensing |
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| creator | Sun, Daozhong Zhang, Yanmin Wang, Yunhua Chen, Ge Sun, Hanwei Yang, Lei Bai, Yining Yu, Fangjie Zhao, Chaofang |
| description | The interferometric radar altimeter (IRA) is one of the main payloads of the "Guanlan" ocean science satellite proposed by the National Laboratory for Marine Science and Technology of China. To evaluate the effectiveness and accuracy of the IRA in retrieving the ocean dynamic parameters, such as sea surface height (SSH), ocean wave spectrum, and wind speed, two airborne IRA experiments were carried out at Qingdao Xiaomaidao (XMD) sea area on March 31, 2019, and Rizhao sea area on November 16, 2020. In the present work, wave-induced sea surface elevation (SSE) and its spectrum have been retrieved based on the interferograms acquired by the airborne IRA. To suppress the random phase noise, a mean filtering algorithm has been used in the multilook process of calculating the complex IRA images. The results show that the size of the filter window has a significant effect on the retrieved SSE. If the size of the filter window along THE range direction is too large, the flat earth would cause the spectral density of the retrieved ocean wave to be higher. In addition, the comparisons of the retrieved spectra with the buoy measurements demonstrate that the swell can be well-retrieved by IRA images at low sea-state conditions with significant wave height (SWH) less than 0.7 m. However, for wind wave, because of the effect of the velocity bunching along the azimuth direction, the wind wave spectrum can be extracted only when it propagates approximately along the ground-range direction of the IRA images. |
| doi_str_mv | 10.1109/TGRS.2021.3101223 |
| format | article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2621064027</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9513469</ieee_id><sourcerecordid>2621064027</sourcerecordid><originalsourceid>FETCH-LOGICAL-c293t-f57f792c0737a54d1de3315391e6586a9c28315aa3a658ea58b404fff0fc16183</originalsourceid><addsrcrecordid>eNo9kE9Lw0AQxRdRsFY_gHgJeE6d2X_JHmvRWigUasXjsk1nJcUmdbct-O3dkOJp5jHvzTA_xu4RRohgnlbT5fuIA8eRQEDOxQUboFJlDlrKSzYANDrnpeHX7CbGLQBKhcWA4aIi12Sf7kTZrDlRiHXbZM8u0iZLzbgO6zY0abYcZ7Od-6J4y668-450d65D9vH6spq85fPFdDYZz_OKG3HIvSp8YXgFhSickhvckBCohEHSqtTOVLxM2jnhkianyrUE6b0HX6HGUgzZY793H9qfI8WD3bbH0KSTlmuO6S_gRXJh76pCG2Mgb_eh3rnwaxFsR8Z2ZGxHxp7JpMxDn6mJ6N9vFAqpjfgDEfdcEw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2621064027</pqid></control><display><type>article</type><title>Ocean Wave Inversion Based on Airborne IRA Images</title><source>IEEE Electronic Library (IEL) Journals</source><creator>Sun, Daozhong ; Zhang, Yanmin ; Wang, Yunhua ; Chen, Ge ; Sun, Hanwei ; Yang, Lei ; Bai, Yining ; Yu, Fangjie ; Zhao, Chaofang</creator><creatorcontrib>Sun, Daozhong ; Zhang, Yanmin ; Wang, Yunhua ; Chen, Ge ; Sun, Hanwei ; Yang, Lei ; Bai, Yining ; Yu, Fangjie ; Zhao, Chaofang</creatorcontrib><description>The interferometric radar altimeter (IRA) is one of the main payloads of the "Guanlan" ocean science satellite proposed by the National Laboratory for Marine Science and Technology of China. To evaluate the effectiveness and accuracy of the IRA in retrieving the ocean dynamic parameters, such as sea surface height (SSH), ocean wave spectrum, and wind speed, two airborne IRA experiments were carried out at Qingdao Xiaomaidao (XMD) sea area on March 31, 2019, and Rizhao sea area on November 16, 2020. In the present work, wave-induced sea surface elevation (SSE) and its spectrum have been retrieved based on the interferograms acquired by the airborne IRA. To suppress the random phase noise, a mean filtering algorithm has been used in the multilook process of calculating the complex IRA images. The results show that the size of the filter window has a significant effect on the retrieved SSE. If the size of the filter window along THE range direction is too large, the flat earth would cause the spectral density of the retrieved ocean wave to be higher. In addition, the comparisons of the retrieved spectra with the buoy measurements demonstrate that the swell can be well-retrieved by IRA images at low sea-state conditions with significant wave height (SWH) less than 0.7 m. However, for wind wave, because of the effect of the velocity bunching along the azimuth direction, the wind wave spectrum can be extracted only when it propagates approximately along the ground-range direction of the IRA images.</description><identifier>ISSN: 0196-2892</identifier><identifier>EISSN: 1558-0644</identifier><identifier>DOI: 10.1109/TGRS.2021.3101223</identifier><identifier>CODEN: IGRSD2</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Algorithms ; Altimeters ; Azimuth ; Buoys ; Direction ; Elevation ; Interference ; Interferometric radar altimeter (IRA) ; Marine sciences ; Marine technology ; ocean wave ; ocean wave spectrum ; Ocean waves ; Payloads ; Radar altimeters ; Radar imaging ; Radio altimeters ; retrieval algorithm ; Satellites ; Sea measurements ; Sea state ; Sea states ; Sea surface ; Significant wave height ; Spaceborne radar ; Synthetic aperture radar ; Wave height ; Wave spectra ; Wind ; Wind speed ; Wind waves</subject><ispartof>IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-13</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c293t-f57f792c0737a54d1de3315391e6586a9c28315aa3a658ea58b404fff0fc16183</citedby><cites>FETCH-LOGICAL-c293t-f57f792c0737a54d1de3315391e6586a9c28315aa3a658ea58b404fff0fc16183</cites><orcidid>0000-0002-7337-9467 ; 0000-0002-4664-2741 ; 0000-0002-4770-3753 ; 0000-0002-6503-0505 ; 0000-0003-4868-5179</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9513469$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>315,786,790,4043,27956,27957,27958,55147</link.rule.ids></links><search><creatorcontrib>Sun, Daozhong</creatorcontrib><creatorcontrib>Zhang, Yanmin</creatorcontrib><creatorcontrib>Wang, Yunhua</creatorcontrib><creatorcontrib>Chen, Ge</creatorcontrib><creatorcontrib>Sun, Hanwei</creatorcontrib><creatorcontrib>Yang, Lei</creatorcontrib><creatorcontrib>Bai, Yining</creatorcontrib><creatorcontrib>Yu, Fangjie</creatorcontrib><creatorcontrib>Zhao, Chaofang</creatorcontrib><title>Ocean Wave Inversion Based on Airborne IRA Images</title><title>IEEE transactions on geoscience and remote sensing</title><addtitle>TGRS</addtitle><description>The interferometric radar altimeter (IRA) is one of the main payloads of the "Guanlan" ocean science satellite proposed by the National Laboratory for Marine Science and Technology of China. To evaluate the effectiveness and accuracy of the IRA in retrieving the ocean dynamic parameters, such as sea surface height (SSH), ocean wave spectrum, and wind speed, two airborne IRA experiments were carried out at Qingdao Xiaomaidao (XMD) sea area on March 31, 2019, and Rizhao sea area on November 16, 2020. In the present work, wave-induced sea surface elevation (SSE) and its spectrum have been retrieved based on the interferograms acquired by the airborne IRA. To suppress the random phase noise, a mean filtering algorithm has been used in the multilook process of calculating the complex IRA images. The results show that the size of the filter window has a significant effect on the retrieved SSE. If the size of the filter window along THE range direction is too large, the flat earth would cause the spectral density of the retrieved ocean wave to be higher. In addition, the comparisons of the retrieved spectra with the buoy measurements demonstrate that the swell can be well-retrieved by IRA images at low sea-state conditions with significant wave height (SWH) less than 0.7 m. However, for wind wave, because of the effect of the velocity bunching along the azimuth direction, the wind wave spectrum can be extracted only when it propagates approximately along the ground-range direction of the IRA images.</description><subject>Algorithms</subject><subject>Altimeters</subject><subject>Azimuth</subject><subject>Buoys</subject><subject>Direction</subject><subject>Elevation</subject><subject>Interference</subject><subject>Interferometric radar altimeter (IRA)</subject><subject>Marine sciences</subject><subject>Marine technology</subject><subject>ocean wave</subject><subject>ocean wave spectrum</subject><subject>Ocean waves</subject><subject>Payloads</subject><subject>Radar altimeters</subject><subject>Radar imaging</subject><subject>Radio altimeters</subject><subject>retrieval algorithm</subject><subject>Satellites</subject><subject>Sea measurements</subject><subject>Sea state</subject><subject>Sea states</subject><subject>Sea surface</subject><subject>Significant wave height</subject><subject>Spaceborne radar</subject><subject>Synthetic aperture radar</subject><subject>Wave height</subject><subject>Wave spectra</subject><subject>Wind</subject><subject>Wind speed</subject><subject>Wind waves</subject><issn>0196-2892</issn><issn>1558-0644</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNo9kE9Lw0AQxRdRsFY_gHgJeE6d2X_JHmvRWigUasXjsk1nJcUmdbct-O3dkOJp5jHvzTA_xu4RRohgnlbT5fuIA8eRQEDOxQUboFJlDlrKSzYANDrnpeHX7CbGLQBKhcWA4aIi12Sf7kTZrDlRiHXbZM8u0iZLzbgO6zY0abYcZ7Od-6J4y668-450d65D9vH6spq85fPFdDYZz_OKG3HIvSp8YXgFhSickhvckBCohEHSqtTOVLxM2jnhkianyrUE6b0HX6HGUgzZY793H9qfI8WD3bbH0KSTlmuO6S_gRXJh76pCG2Mgb_eh3rnwaxFsR8Z2ZGxHxp7JpMxDn6mJ6N9vFAqpjfgDEfdcEw</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Sun, Daozhong</creator><creator>Zhang, Yanmin</creator><creator>Wang, Yunhua</creator><creator>Chen, Ge</creator><creator>Sun, Hanwei</creator><creator>Yang, Lei</creator><creator>Bai, Yining</creator><creator>Yu, Fangjie</creator><creator>Zhao, Chaofang</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</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><orcidid>https://orcid.org/0000-0002-7337-9467</orcidid><orcidid>https://orcid.org/0000-0002-4664-2741</orcidid><orcidid>https://orcid.org/0000-0002-4770-3753</orcidid><orcidid>https://orcid.org/0000-0002-6503-0505</orcidid><orcidid>https://orcid.org/0000-0003-4868-5179</orcidid></search><sort><creationdate>2022</creationdate><title>Ocean Wave Inversion Based on Airborne IRA Images</title><author>Sun, Daozhong ; Zhang, Yanmin ; Wang, Yunhua ; Chen, Ge ; Sun, Hanwei ; Yang, Lei ; Bai, Yining ; Yu, Fangjie ; Zhao, Chaofang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c293t-f57f792c0737a54d1de3315391e6586a9c28315aa3a658ea58b404fff0fc16183</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Algorithms</topic><topic>Altimeters</topic><topic>Azimuth</topic><topic>Buoys</topic><topic>Direction</topic><topic>Elevation</topic><topic>Interference</topic><topic>Interferometric radar altimeter (IRA)</topic><topic>Marine sciences</topic><topic>Marine technology</topic><topic>ocean wave</topic><topic>ocean wave spectrum</topic><topic>Ocean waves</topic><topic>Payloads</topic><topic>Radar altimeters</topic><topic>Radar imaging</topic><topic>Radio altimeters</topic><topic>retrieval algorithm</topic><topic>Satellites</topic><topic>Sea measurements</topic><topic>Sea state</topic><topic>Sea states</topic><topic>Sea surface</topic><topic>Significant wave height</topic><topic>Spaceborne radar</topic><topic>Synthetic aperture radar</topic><topic>Wave height</topic><topic>Wave spectra</topic><topic>Wind</topic><topic>Wind speed</topic><topic>Wind waves</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sun, Daozhong</creatorcontrib><creatorcontrib>Zhang, Yanmin</creatorcontrib><creatorcontrib>Wang, Yunhua</creatorcontrib><creatorcontrib>Chen, Ge</creatorcontrib><creatorcontrib>Sun, Hanwei</creatorcontrib><creatorcontrib>Yang, Lei</creatorcontrib><creatorcontrib>Bai, Yining</creatorcontrib><creatorcontrib>Yu, Fangjie</creatorcontrib><creatorcontrib>Zhao, Chaofang</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>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><jtitle>IEEE transactions on geoscience and remote sensing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sun, Daozhong</au><au>Zhang, Yanmin</au><au>Wang, Yunhua</au><au>Chen, Ge</au><au>Sun, Hanwei</au><au>Yang, Lei</au><au>Bai, Yining</au><au>Yu, Fangjie</au><au>Zhao, Chaofang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Ocean Wave Inversion Based on Airborne IRA Images</atitle><jtitle>IEEE transactions on geoscience and remote sensing</jtitle><stitle>TGRS</stitle><date>2022</date><risdate>2022</risdate><volume>60</volume><spage>1</spage><epage>13</epage><pages>1-13</pages><issn>0196-2892</issn><eissn>1558-0644</eissn><coden>IGRSD2</coden><abstract>The interferometric radar altimeter (IRA) is one of the main payloads of the "Guanlan" ocean science satellite proposed by the National Laboratory for Marine Science and Technology of China. To evaluate the effectiveness and accuracy of the IRA in retrieving the ocean dynamic parameters, such as sea surface height (SSH), ocean wave spectrum, and wind speed, two airborne IRA experiments were carried out at Qingdao Xiaomaidao (XMD) sea area on March 31, 2019, and Rizhao sea area on November 16, 2020. In the present work, wave-induced sea surface elevation (SSE) and its spectrum have been retrieved based on the interferograms acquired by the airborne IRA. To suppress the random phase noise, a mean filtering algorithm has been used in the multilook process of calculating the complex IRA images. The results show that the size of the filter window has a significant effect on the retrieved SSE. If the size of the filter window along THE range direction is too large, the flat earth would cause the spectral density of the retrieved ocean wave to be higher. In addition, the comparisons of the retrieved spectra with the buoy measurements demonstrate that the swell can be well-retrieved by IRA images at low sea-state conditions with significant wave height (SWH) less than 0.7 m. However, for wind wave, because of the effect of the velocity bunching along the azimuth direction, the wind wave spectrum can be extracted only when it propagates approximately along the ground-range direction of the IRA images.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TGRS.2021.3101223</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-7337-9467</orcidid><orcidid>https://orcid.org/0000-0002-4664-2741</orcidid><orcidid>https://orcid.org/0000-0002-4770-3753</orcidid><orcidid>https://orcid.org/0000-0002-6503-0505</orcidid><orcidid>https://orcid.org/0000-0003-4868-5179</orcidid></addata></record> |
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| ispartof | IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-13 |
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| subjects | Algorithms Altimeters Azimuth Buoys Direction Elevation Interference Interferometric radar altimeter (IRA) Marine sciences Marine technology ocean wave ocean wave spectrum Ocean waves Payloads Radar altimeters Radar imaging Radio altimeters retrieval algorithm Satellites Sea measurements Sea state Sea states Sea surface Significant wave height Spaceborne radar Synthetic aperture radar Wave height Wave spectra Wind Wind speed Wind waves |
| title | Ocean Wave Inversion Based on Airborne IRA Images |
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