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Evaluation of a New Lightweight UAV-Borne Topo-Bathymetric LiDAR for Shallow Water Bathymetry and Object Detection
Airborne LiDAR bathymetry (ALB) has proven to be an effective technology for shallow water mapping. To collect data with a high point density, a lightweight dual-wavelength LiDAR system mounted on unmanned aerial vehicles (UAVs) was developed. This study presents and evaluates the system using the f...
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Published in: | Sensors (Basel, Switzerland) Switzerland), 2022-02, Vol.22 (4), p.1379 |
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description | Airborne LiDAR bathymetry (ALB) has proven to be an effective technology for shallow water mapping. To collect data with a high point density, a lightweight dual-wavelength LiDAR system mounted on unmanned aerial vehicles (UAVs) was developed. This study presents and evaluates the system using the field data acquired from a flight test in Dazhou Island, China. In the precision and accuracy assessment, the local fitted planes extracted from the water surface points and the multibeam echosounder data are used as a reference for water surface and bottom measurements, respectively. For the bathymetric performance comparison, the study area is also measured with an ALB system installed on the manned aerial platform. The object detection capability of the system is examined with placed small cubes. Results show that the fitting precision of the water surface is 0.1227 m, and the absolute accuracy of the water bottom is 0.1268 m, both of which reach a decimeter level. Compared to the manned ALB system, the UAV-borne system provides higher resolution data with an average point density of 42 points/m
and maximum detectable depth of 1.7-1.9 Secchi depths. In the point cloud of the water bottom, the existence of a 1-m target cube and the rough shape of a 2-m target cube are clearly observed at a depth of 12 m. The system shows great potential for flexible shallow water mapping and underwater object detection with promising results. |
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and maximum detectable depth of 1.7-1.9 Secchi depths. In the point cloud of the water bottom, the existence of a 1-m target cube and the rough shape of a 2-m target cube are clearly observed at a depth of 12 m. The system shows great potential for flexible shallow water mapping and underwater object detection with promising results.</description><identifier>ISSN: 1424-8220</identifier><identifier>EISSN: 1424-8220</identifier><identifier>DOI: 10.3390/s22041379</identifier><identifier>PMID: 35214279</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Accuracy ; Altitude ; Analysis ; Bathymeters ; Bathymetry ; coastal mapping ; Cubes ; Data acquisition ; Echo sounding ; full-waveform ; Inertial navigation ; Inertial navigation (Aeronautics) ; Lasers ; LiDAR ; Lightweight ; Mapping ; object detection ; Optical radar ; Power supply ; Remote sensing ; Sensors ; Shallow water ; Surveys ; Unmanned aerial vehicles</subject><ispartof>Sensors (Basel, Switzerland), 2022-02, Vol.22 (4), p.1379</ispartof><rights>COPYRIGHT 2022 MDPI AG</rights><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 by the authors. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c508t-292a664f9301616adffb20429b92c13108ff44f525bfd970c63a4a385bf4425c3</citedby><cites>FETCH-LOGICAL-c508t-292a664f9301616adffb20429b92c13108ff44f525bfd970c63a4a385bf4425c3</cites><orcidid>0000-0002-1424-7261 ; 0000-0001-9860-0650</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2633184354/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2633184354?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25752,27923,27924,37011,37012,44589,53790,53792,74997</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35214279$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Dandi</creatorcontrib><creatorcontrib>Xing, Shuai</creatorcontrib><creatorcontrib>He, Yan</creatorcontrib><creatorcontrib>Yu, Jiayong</creatorcontrib><creatorcontrib>Xu, Qing</creatorcontrib><creatorcontrib>Li, Pengcheng</creatorcontrib><title>Evaluation of a New Lightweight UAV-Borne Topo-Bathymetric LiDAR for Shallow Water Bathymetry and Object Detection</title><title>Sensors (Basel, Switzerland)</title><addtitle>Sensors (Basel)</addtitle><description>Airborne LiDAR bathymetry (ALB) has proven to be an effective technology for shallow water mapping. To collect data with a high point density, a lightweight dual-wavelength LiDAR system mounted on unmanned aerial vehicles (UAVs) was developed. This study presents and evaluates the system using the field data acquired from a flight test in Dazhou Island, China. In the precision and accuracy assessment, the local fitted planes extracted from the water surface points and the multibeam echosounder data are used as a reference for water surface and bottom measurements, respectively. For the bathymetric performance comparison, the study area is also measured with an ALB system installed on the manned aerial platform. The object detection capability of the system is examined with placed small cubes. Results show that the fitting precision of the water surface is 0.1227 m, and the absolute accuracy of the water bottom is 0.1268 m, both of which reach a decimeter level. Compared to the manned ALB system, the UAV-borne system provides higher resolution data with an average point density of 42 points/m
and maximum detectable depth of 1.7-1.9 Secchi depths. In the point cloud of the water bottom, the existence of a 1-m target cube and the rough shape of a 2-m target cube are clearly observed at a depth of 12 m. The system shows great potential for flexible shallow water mapping and underwater object detection with promising results.</description><subject>Accuracy</subject><subject>Altitude</subject><subject>Analysis</subject><subject>Bathymeters</subject><subject>Bathymetry</subject><subject>coastal mapping</subject><subject>Cubes</subject><subject>Data acquisition</subject><subject>Echo sounding</subject><subject>full-waveform</subject><subject>Inertial navigation</subject><subject>Inertial navigation (Aeronautics)</subject><subject>Lasers</subject><subject>LiDAR</subject><subject>Lightweight</subject><subject>Mapping</subject><subject>object detection</subject><subject>Optical radar</subject><subject>Power supply</subject><subject>Remote sensing</subject><subject>Sensors</subject><subject>Shallow water</subject><subject>Surveys</subject><subject>Unmanned aerial vehicles</subject><issn>1424-8220</issn><issn>1424-8220</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpdkk1vEzEQhlcIREvhwB9AlrjAYYu_dte-IKUfQKWIStDC0Zr12omjzTr1Oo3y75mQErXIksczfuYdjzVF8ZbRUyE0_TRyTiUTjX5WHDPJZakw8PzR-ah4NY4LSrkQQr0sjkTF8a7Rx0W6vId-DTnEgURPgHx3GzINs3neuN1Obie_yrOYBkdu4iqWZ5Dn26XLKVjELiY_iI-J_JxD38cN-Q3ZJXJgtgSGjly3C2czuXAZDdZ5Xbzw0I_uzYM9KW6_XN6cfyun11-vzifT0lZU5ZJrDnUtvRaU1ayGzvsW2-S61dwywajyXkpf8ar1nW6orQVIEApdKXllxUlxtdftIizMKoUlpK2JEMzfQEwzAykH2zuDKdqzSjsFUlqtwHkPjDLaUl6hg1qf91qrdbt0nXVDTtA_EX16M4S5mcV7o3QtaK1Q4MODQIp3azdmswyjdX0Pg4vr0fBayIrpSjSIvv8PXcR1GvCrdpRgSopKInW6p2aADYTBR6xrcXVuGWwcnA8YnzSK4UcKqjHh4z7BpjiOyfnD6xk1uzEyhzFC9t3jdg_kv7kRfwDplsFG</recordid><startdate>20220211</startdate><enddate>20220211</enddate><creator>Wang, Dandi</creator><creator>Xing, Shuai</creator><creator>He, Yan</creator><creator>Yu, Jiayong</creator><creator>Xu, Qing</creator><creator>Li, Pengcheng</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-1424-7261</orcidid><orcidid>https://orcid.org/0000-0001-9860-0650</orcidid></search><sort><creationdate>20220211</creationdate><title>Evaluation of a New Lightweight UAV-Borne Topo-Bathymetric LiDAR for Shallow Water Bathymetry and Object Detection</title><author>Wang, Dandi ; Xing, Shuai ; He, Yan ; Yu, Jiayong ; Xu, Qing ; Li, Pengcheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c508t-292a664f9301616adffb20429b92c13108ff44f525bfd970c63a4a385bf4425c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Accuracy</topic><topic>Altitude</topic><topic>Analysis</topic><topic>Bathymeters</topic><topic>Bathymetry</topic><topic>coastal mapping</topic><topic>Cubes</topic><topic>Data acquisition</topic><topic>Echo sounding</topic><topic>full-waveform</topic><topic>Inertial navigation</topic><topic>Inertial navigation (Aeronautics)</topic><topic>Lasers</topic><topic>LiDAR</topic><topic>Lightweight</topic><topic>Mapping</topic><topic>object detection</topic><topic>Optical radar</topic><topic>Power supply</topic><topic>Remote sensing</topic><topic>Sensors</topic><topic>Shallow water</topic><topic>Surveys</topic><topic>Unmanned aerial vehicles</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Dandi</creatorcontrib><creatorcontrib>Xing, Shuai</creatorcontrib><creatorcontrib>He, Yan</creatorcontrib><creatorcontrib>Yu, Jiayong</creatorcontrib><creatorcontrib>Xu, Qing</creatorcontrib><creatorcontrib>Li, Pengcheng</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Sensors (Basel, Switzerland)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Dandi</au><au>Xing, Shuai</au><au>He, Yan</au><au>Yu, Jiayong</au><au>Xu, Qing</au><au>Li, Pengcheng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of a New Lightweight UAV-Borne Topo-Bathymetric LiDAR for Shallow Water Bathymetry and Object Detection</atitle><jtitle>Sensors (Basel, Switzerland)</jtitle><addtitle>Sensors (Basel)</addtitle><date>2022-02-11</date><risdate>2022</risdate><volume>22</volume><issue>4</issue><spage>1379</spage><pages>1379-</pages><issn>1424-8220</issn><eissn>1424-8220</eissn><abstract>Airborne LiDAR bathymetry (ALB) has proven to be an effective technology for shallow water mapping. To collect data with a high point density, a lightweight dual-wavelength LiDAR system mounted on unmanned aerial vehicles (UAVs) was developed. This study presents and evaluates the system using the field data acquired from a flight test in Dazhou Island, China. In the precision and accuracy assessment, the local fitted planes extracted from the water surface points and the multibeam echosounder data are used as a reference for water surface and bottom measurements, respectively. For the bathymetric performance comparison, the study area is also measured with an ALB system installed on the manned aerial platform. The object detection capability of the system is examined with placed small cubes. Results show that the fitting precision of the water surface is 0.1227 m, and the absolute accuracy of the water bottom is 0.1268 m, both of which reach a decimeter level. Compared to the manned ALB system, the UAV-borne system provides higher resolution data with an average point density of 42 points/m
and maximum detectable depth of 1.7-1.9 Secchi depths. In the point cloud of the water bottom, the existence of a 1-m target cube and the rough shape of a 2-m target cube are clearly observed at a depth of 12 m. The system shows great potential for flexible shallow water mapping and underwater object detection with promising results.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>35214279</pmid><doi>10.3390/s22041379</doi><orcidid>https://orcid.org/0000-0002-1424-7261</orcidid><orcidid>https://orcid.org/0000-0001-9860-0650</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Accuracy Altitude Analysis Bathymeters Bathymetry coastal mapping Cubes Data acquisition Echo sounding full-waveform Inertial navigation Inertial navigation (Aeronautics) Lasers LiDAR Lightweight Mapping object detection Optical radar Power supply Remote sensing Sensors Shallow water Surveys Unmanned aerial vehicles |
title | Evaluation of a New Lightweight UAV-Borne Topo-Bathymetric LiDAR for Shallow Water Bathymetry and Object Detection |
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