Automatic Detection of Internal Waves on Satellite Images and Estimates of the Mixed Layer Density
This work presents an automatic algorithm for detecting internal waves (IWs) using the visible channel images of the MODIS radiometer. The algorithm is based on the local Hough transform. The sources of detection errors and the possibility of excluding false detections are considered. If a train of...
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| Veröffentlicht in: | Izvestiya. Atmospheric and oceanic physics 2019-12, Vol.55 (9), p.1098-1105 |
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| container_title | Izvestiya. Atmospheric and oceanic physics |
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| creator | Aleksanin, A. I. Kim, V. |
| description | This work presents an automatic algorithm for detecting internal waves (IWs) using the visible channel images of the MODIS radiometer. The algorithm is based on the local Hough transform. The sources of detection errors and the possibility of excluding false detections are considered. If a train of IWs is detected, it is possible to estimate the wavenumber. The wavelength in the images used in our experiments is within the range 1300–2200 m. The speed of IWs is estimated using two adjacent passes of the Aqua and Terra satellites. The speed and wavenumber are used for estimating the density characteristics of the mixed layer in a two-layer model with constant density. The estimated density difference between the layers based on satellite data is in a good agreement with the in situ data. |
| doi_str_mv | 10.1134/S0001433819090020 |
| format | Article |
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I. ; Kim, V.</creator><creatorcontrib>Aleksanin, A. I. ; Kim, V.</creatorcontrib><description>This work presents an automatic algorithm for detecting internal waves (IWs) using the visible channel images of the MODIS radiometer. The algorithm is based on the local Hough transform. The sources of detection errors and the possibility of excluding false detections are considered. If a train of IWs is detected, it is possible to estimate the wavenumber. The wavelength in the images used in our experiments is within the range 1300–2200 m. The speed of IWs is estimated using two adjacent passes of the Aqua and Terra satellites. The speed and wavenumber are used for estimating the density characteristics of the mixed layer in a two-layer model with constant density. The estimated density difference between the layers based on satellite data is in a good agreement with the in situ data.</description><identifier>ISSN: 0001-4338</identifier><identifier>EISSN: 1555-628X</identifier><identifier>DOI: 10.1134/S0001433819090020</identifier><language>eng</language><publisher>Moscow: Pleiades Publishing</publisher><subject>Algorithms ; Climatology ; Density ; Detection ; Earth and Environmental Science ; Earth Sciences ; Geophysics/Geodesy ; Hough transformation ; Image detection ; Internal waves ; Mixed layer ; Radiometers ; Satellite data ; Satellite imagery ; Satellites ; Spaceborne remote sensing ; Use of Space Information about the Earth Studying Seas and Oceans from Space ; Wavelength ; Wavelengths</subject><ispartof>Izvestiya. 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I.</creatorcontrib><creatorcontrib>Kim, V.</creatorcontrib><title>Automatic Detection of Internal Waves on Satellite Images and Estimates of the Mixed Layer Density</title><title>Izvestiya. Atmospheric and oceanic physics</title><addtitle>Izv. Atmos. Ocean. Phys</addtitle><description>This work presents an automatic algorithm for detecting internal waves (IWs) using the visible channel images of the MODIS radiometer. The algorithm is based on the local Hough transform. The sources of detection errors and the possibility of excluding false detections are considered. If a train of IWs is detected, it is possible to estimate the wavenumber. The wavelength in the images used in our experiments is within the range 1300–2200 m. The speed of IWs is estimated using two adjacent passes of the Aqua and Terra satellites. The speed and wavenumber are used for estimating the density characteristics of the mixed layer in a two-layer model with constant density. The estimated density difference between the layers based on satellite data is in a good agreement with the in situ data.</description><subject>Algorithms</subject><subject>Climatology</subject><subject>Density</subject><subject>Detection</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Geophysics/Geodesy</subject><subject>Hough transformation</subject><subject>Image detection</subject><subject>Internal waves</subject><subject>Mixed layer</subject><subject>Radiometers</subject><subject>Satellite data</subject><subject>Satellite imagery</subject><subject>Satellites</subject><subject>Spaceborne remote sensing</subject><subject>Use of Space Information about the Earth Studying Seas and Oceans from Space</subject><subject>Wavelength</subject><subject>Wavelengths</subject><issn>0001-4338</issn><issn>1555-628X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp1kFFLwzAUhYMoOKc_wLeAz9WbpGnSxzGnDiY-TNG3kqY3s6NrZ5OJ-_emTPBBfLpw7ncOnEPIJYNrxkR6swQAlgqhWQ45AIcjMmJSyiTj-u2YjIZ3MvxPyZn3a4CMp6BGpJzsQrcxobb0FgPaUHct7RydtwH71jT01Xyip1FcmoBNUwek841ZRc20FZ35UEf3QDga3pE-1l9Y0YXZYx8DW1-H_Tk5cabxePFzx-TlbvY8fUgWT_fz6WSRWMGykFRKOwGZA5FpJqQTCq1Shle2MmWOJlXoSiuV5aIUskyZUlJWLkcNwoIsxZhcHXK3ffexQx-KdbcbOviCi1xrqRUXkWIHyvad9z26YtvHCv2-YFAMUxZ_powefvD4yLYr7H-T_zd9A7lddUM</recordid><startdate>20191201</startdate><enddate>20191201</enddate><creator>Aleksanin, A. I.</creator><creator>Kim, V.</creator><general>Pleiades Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7TN</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope></search><sort><creationdate>20191201</creationdate><title>Automatic Detection of Internal Waves on Satellite Images and Estimates of the Mixed Layer Density</title><author>Aleksanin, A. I. ; Kim, V.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-d78f306f0368135f37ec77a2dcdab9ea47efbc57c23b35b417755df9e803c05b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Algorithms</topic><topic>Climatology</topic><topic>Density</topic><topic>Detection</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Geophysics/Geodesy</topic><topic>Hough transformation</topic><topic>Image detection</topic><topic>Internal waves</topic><topic>Mixed layer</topic><topic>Radiometers</topic><topic>Satellite data</topic><topic>Satellite imagery</topic><topic>Satellites</topic><topic>Spaceborne remote sensing</topic><topic>Use of Space Information about the Earth Studying Seas and Oceans from Space</topic><topic>Wavelength</topic><topic>Wavelengths</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Aleksanin, A. I.</creatorcontrib><creatorcontrib>Kim, V.</creatorcontrib><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Izvestiya. Atmospheric and oceanic physics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Aleksanin, A. I.</au><au>Kim, V.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Automatic Detection of Internal Waves on Satellite Images and Estimates of the Mixed Layer Density</atitle><jtitle>Izvestiya. Atmospheric and oceanic physics</jtitle><stitle>Izv. Atmos. Ocean. Phys</stitle><date>2019-12-01</date><risdate>2019</risdate><volume>55</volume><issue>9</issue><spage>1098</spage><epage>1105</epage><pages>1098-1105</pages><issn>0001-4338</issn><eissn>1555-628X</eissn><abstract>This work presents an automatic algorithm for detecting internal waves (IWs) using the visible channel images of the MODIS radiometer. The algorithm is based on the local Hough transform. The sources of detection errors and the possibility of excluding false detections are considered. If a train of IWs is detected, it is possible to estimate the wavenumber. The wavelength in the images used in our experiments is within the range 1300–2200 m. The speed of IWs is estimated using two adjacent passes of the Aqua and Terra satellites. The speed and wavenumber are used for estimating the density characteristics of the mixed layer in a two-layer model with constant density. 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| ispartof | Izvestiya. Atmospheric and oceanic physics, 2019-12, Vol.55 (9), p.1098-1105 |
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| subjects | Algorithms Climatology Density Detection Earth and Environmental Science Earth Sciences Geophysics/Geodesy Hough transformation Image detection Internal waves Mixed layer Radiometers Satellite data Satellite imagery Satellites Spaceborne remote sensing Use of Space Information about the Earth Studying Seas and Oceans from Space Wavelength Wavelengths |
| title | Automatic Detection of Internal Waves on Satellite Images and Estimates of the Mixed Layer Density |
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