High-resolution 3-D monitoring of evolving sediment beds
Key Points We describe a new technique for measuring the topography of evolving beds. The new technique was applied to a bridge scour experiment. The main advantage is the high spatiotemporal resolution. A new photogrammetric technique has been developed for monitoring the morphology of evolving str...
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Veröffentlicht in: | Water resources research 2013-02, Vol.49 (2), p.977-992 |
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creator | Bouratsis, Polydefkis (Pol) Diplas, Panayiotis Dancey, Clinton L. Apsilidis, Nikolaos |
description | Key Points
We describe a new technique for measuring the topography of evolving beds.
The new technique was applied to a bridge scour experiment.
The main advantage is the high spatiotemporal resolution.
A new photogrammetric technique has been developed for monitoring the morphology of evolving stream beds. A pair of commercial cameras is used to record the evolution of the bed, and a computational approach that consists of a set of computer‐vision and image‐processing algorithms is employed to analyze the videos and reconstruct the instantaneous 3‐D surface of the bed. Time‐ and space‐resolved measurements are obtained to generate accurate representations of the bed. The required setup for the implementation of the technique is relatively simple and minimally intrusive. A thorough description of the algorithms that were used and detailed instructions for the implementation of the technique is provided. High‐resolution measurements of a gravel bed in a clear‐water, bridge scour experiment were carried out to demonstrate the operation and validate the capabilities of the technique. The new technique shows advantages compared to existing methods in terms of spatial resolution, temporal resolution, simplicity, and cost. |
doi_str_mv | 10.1002/wrcr.20110 |
format | Article |
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We describe a new technique for measuring the topography of evolving beds.
The new technique was applied to a bridge scour experiment.
The main advantage is the high spatiotemporal resolution.
A new photogrammetric technique has been developed for monitoring the morphology of evolving stream beds. A pair of commercial cameras is used to record the evolution of the bed, and a computational approach that consists of a set of computer‐vision and image‐processing algorithms is employed to analyze the videos and reconstruct the instantaneous 3‐D surface of the bed. Time‐ and space‐resolved measurements are obtained to generate accurate representations of the bed. The required setup for the implementation of the technique is relatively simple and minimally intrusive. A thorough description of the algorithms that were used and detailed instructions for the implementation of the technique is provided. High‐resolution measurements of a gravel bed in a clear‐water, bridge scour experiment were carried out to demonstrate the operation and validate the capabilities of the technique. The new technique shows advantages compared to existing methods in terms of spatial resolution, temporal resolution, simplicity, and cost.</description><identifier>ISSN: 0043-1397</identifier><identifier>EISSN: 1944-7973</identifier><identifier>DOI: 10.1002/wrcr.20110</identifier><language>eng</language><publisher>Washington: Blackwell Publishing Ltd</publisher><subject>Algorithms ; bridge pier ; computer vision ; Environmental monitoring ; Gravel ; loose boundary hydraulics ; photogrammetry ; Scour ; sediment transport ; Streambeds</subject><ispartof>Water resources research, 2013-02, Vol.49 (2), p.977-992</ispartof><rights>2013. American Geophysical Union. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a4310-a777b1c80fbdd4f49c0b27bd5920cde5ef072472de2a1aa7f2eb6d15ef1a39023</citedby><cites>FETCH-LOGICAL-a4310-a777b1c80fbdd4f49c0b27bd5920cde5ef072472de2a1aa7f2eb6d15ef1a39023</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fwrcr.20110$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fwrcr.20110$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,11493,27901,27902,45550,45551,46443,46867</link.rule.ids></links><search><creatorcontrib>Bouratsis, Polydefkis (Pol)</creatorcontrib><creatorcontrib>Diplas, Panayiotis</creatorcontrib><creatorcontrib>Dancey, Clinton L.</creatorcontrib><creatorcontrib>Apsilidis, Nikolaos</creatorcontrib><title>High-resolution 3-D monitoring of evolving sediment beds</title><title>Water resources research</title><addtitle>Water Resour. Res</addtitle><description>Key Points
We describe a new technique for measuring the topography of evolving beds.
The new technique was applied to a bridge scour experiment.
The main advantage is the high spatiotemporal resolution.
A new photogrammetric technique has been developed for monitoring the morphology of evolving stream beds. A pair of commercial cameras is used to record the evolution of the bed, and a computational approach that consists of a set of computer‐vision and image‐processing algorithms is employed to analyze the videos and reconstruct the instantaneous 3‐D surface of the bed. Time‐ and space‐resolved measurements are obtained to generate accurate representations of the bed. The required setup for the implementation of the technique is relatively simple and minimally intrusive. A thorough description of the algorithms that were used and detailed instructions for the implementation of the technique is provided. High‐resolution measurements of a gravel bed in a clear‐water, bridge scour experiment were carried out to demonstrate the operation and validate the capabilities of the technique. The new technique shows advantages compared to existing methods in terms of spatial resolution, temporal resolution, simplicity, and cost.</description><subject>Algorithms</subject><subject>bridge pier</subject><subject>computer vision</subject><subject>Environmental monitoring</subject><subject>Gravel</subject><subject>loose boundary hydraulics</subject><subject>photogrammetry</subject><subject>Scour</subject><subject>sediment transport</subject><subject>Streambeds</subject><issn>0043-1397</issn><issn>1944-7973</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNp9kE9LxDAQxYMouP65-AkKXkSoziRp0xxl1V1RVBZljyFtU412G026u-63t2vVgwcPwwzD7z0ej5ADhBMEoKdLX_gTCoiwQQYoOY-FFGyTDAA4i5FJsU12QngBQJ6kYkCysX16jr0Jrp631jURi8-jmWts67xtniJXRWbh6sX6Dqa0M9O0UW7KsEe2Kl0Hs_-9d8nj5cXDcBzf3I2uhmc3seYMIdZCiByLDKq8LHnFZQE5FXmZSApFaRJTgaBc0NJQjVqLipo8LbH7o2YSKNslR73vm3fvcxNaNbOhMHWtG-PmQWGSphmX3XTo4R_0xc1906VTmHIKGVK-NjzuqcK7ELyp1Ju3M-1XCkGtS1TrEtVXiR2MPby0tVn9Q6rpZDj50cS9xobWfPxqtH9VqWAiUdPbkboW93I6mUgF7BNrMIJt</recordid><startdate>201302</startdate><enddate>201302</enddate><creator>Bouratsis, Polydefkis (Pol)</creator><creator>Diplas, Panayiotis</creator><creator>Dancey, Clinton L.</creator><creator>Apsilidis, Nikolaos</creator><general>Blackwell Publishing Ltd</general><general>John Wiley & Sons, Inc</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7QL</scope><scope>7T7</scope><scope>7TG</scope><scope>7U9</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H94</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>M7N</scope><scope>P64</scope><scope>H97</scope></search><sort><creationdate>201302</creationdate><title>High-resolution 3-D monitoring of evolving sediment beds</title><author>Bouratsis, Polydefkis (Pol) ; Diplas, Panayiotis ; Dancey, Clinton L. ; Apsilidis, Nikolaos</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a4310-a777b1c80fbdd4f49c0b27bd5920cde5ef072472de2a1aa7f2eb6d15ef1a39023</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Algorithms</topic><topic>bridge pier</topic><topic>computer vision</topic><topic>Environmental monitoring</topic><topic>Gravel</topic><topic>loose boundary hydraulics</topic><topic>photogrammetry</topic><topic>Scour</topic><topic>sediment transport</topic><topic>Streambeds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bouratsis, Polydefkis (Pol)</creatorcontrib><creatorcontrib>Diplas, Panayiotis</creatorcontrib><creatorcontrib>Dancey, Clinton L.</creatorcontrib><creatorcontrib>Apsilidis, Nikolaos</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Virology and AIDS Abstracts</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>AIDS and Cancer Research Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><jtitle>Water resources research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bouratsis, Polydefkis (Pol)</au><au>Diplas, Panayiotis</au><au>Dancey, Clinton L.</au><au>Apsilidis, Nikolaos</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>High-resolution 3-D monitoring of evolving sediment beds</atitle><jtitle>Water resources research</jtitle><addtitle>Water Resour. Res</addtitle><date>2013-02</date><risdate>2013</risdate><volume>49</volume><issue>2</issue><spage>977</spage><epage>992</epage><pages>977-992</pages><issn>0043-1397</issn><eissn>1944-7973</eissn><abstract>Key Points
We describe a new technique for measuring the topography of evolving beds.
The new technique was applied to a bridge scour experiment.
The main advantage is the high spatiotemporal resolution.
A new photogrammetric technique has been developed for monitoring the morphology of evolving stream beds. A pair of commercial cameras is used to record the evolution of the bed, and a computational approach that consists of a set of computer‐vision and image‐processing algorithms is employed to analyze the videos and reconstruct the instantaneous 3‐D surface of the bed. Time‐ and space‐resolved measurements are obtained to generate accurate representations of the bed. The required setup for the implementation of the technique is relatively simple and minimally intrusive. A thorough description of the algorithms that were used and detailed instructions for the implementation of the technique is provided. High‐resolution measurements of a gravel bed in a clear‐water, bridge scour experiment were carried out to demonstrate the operation and validate the capabilities of the technique. The new technique shows advantages compared to existing methods in terms of spatial resolution, temporal resolution, simplicity, and cost.</abstract><cop>Washington</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1002/wrcr.20110</doi><tpages>16</tpages><oa>free_for_read</oa></addata></record> |
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source | Wiley-Blackwell AGU Digital Library; Wiley Online Library Journals Frontfile Complete; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
subjects | Algorithms bridge pier computer vision Environmental monitoring Gravel loose boundary hydraulics photogrammetry Scour sediment transport Streambeds |
title | High-resolution 3-D monitoring of evolving sediment beds |
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