The Influence of Camera Calibration on Nearshore Bathymetry Estimation from UAV Videos
20 pages, 15 figures, 4 tables.-- Data Availability Statement: All data are available under request to the first auth
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Multidisciplinary Digital Publishing Institute
2021-01-05
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| Subjects: | Unmanned Aerial Vehicles (UAVs), Camera calibration, Bathymetry estimation, Coastal morphodynamics, Coastal management, |
| Online Access: | http://hdl.handle.net/10261/227864 http://dx.doi.org/10.13039/501100000780 http://dx.doi.org/10.13039/501100002809 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/501100011033 |
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dig-icm-es-10261-2278642021-05-05T07:19:17Z The Influence of Camera Calibration on Nearshore Bathymetry Estimation from UAV Videos Simarro, Gonzalo Calvete, Daniel Plomaritis, Theocharis A. Moreno-Noguer, Francesc Giannoukakou-Leontsini, Ifigeneia Montes, Juan Durán, Ruth Ministerio de Economía y Competitividad (España) Ministerio de Ciencia, Innovación y Universidades (España) Generalitat de Catalunya European Commission Agencia Estatal de Investigación (España) Unmanned Aerial Vehicles (UAVs) Camera calibration Bathymetry estimation Coastal morphodynamics Coastal management 20 pages, 15 figures, 4 tables.-- Data Availability Statement: All data are available under request to the first auth Measuring the nearshore bathymetry is critical in coastal management and morphodynamic studies. The recent advent of Unmanned Aerial Vehicles (UAVs), in combination with coastal video monitoring techniques, allows for an alternative and low cost evaluation of the nearshore bathymetry. Camera calibration and stabilization is a critical issue in bathymetry estimation from video systems. This work introduces a new methodology in order to obtain such bathymetries, and it compares the results to echo-sounder ground truth data. The goal is to gain a better understanding on the influence of the camera calibration and stabilization on the inferred bathymetry. The results show how the proposed methodology allows for accurate evaluations of the bathymetry, with overall root mean square errors in the order of 40 cm. It is shown that the intrinsic calibration of the camera, related to the lens distortion, is the most critical aspect. Here, the intrinsic calibration that was obtained directly during the flight yields the best results This research was funded by the Spanish Government (MINECO/MICINN/FEDER) grant numbers RTI2018-093941-B-C32, and RTI2018-093941-B-C33, PID2019-109143RB-I00 and FEDER-UCA18-107062. G.S. and R.D. belong to CRG on Littoral and Oceanic Processes, supported by Grant 2017 SGR 863 of the Generalitat de Catalunya. Part of this work and I.G.-L. was supported by a grant funded by the European Commission under the Erasmus Mundus Joint Master Degree Programme in Water and Coastal Management (WACOMA; Project num. 586596-EPP-1-2017-1-IT-EPPKA1-JMD-MOB). With the funding support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), of the Spanish Research Agency (AEI) Peer reviewed 2021-01-28T14:06:09Z 2021-01-28T14:06:09Z 2021-01-05 2021-01-28T14:06:10Z artículo http://purl.org/coar/resource_type/c_6501 Remote Sensing 13(1): 150 (2021) CEX2019-000928-S http://hdl.handle.net/10261/227864 10.3390/rs13010150 2072-4292 http://dx.doi.org/10.13039/501100000780 http://dx.doi.org/10.13039/501100002809 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/501100011033 #PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-093941-B-C32 info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-093941-B-C33 info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-109143RB-I00 Publisher's version https://doi.org/10.3390/rs13010150 Sí open Multidisciplinary Digital Publishing Institute |
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| topic |
Unmanned Aerial Vehicles (UAVs) Camera calibration Bathymetry estimation Coastal morphodynamics Coastal management Unmanned Aerial Vehicles (UAVs) Camera calibration Bathymetry estimation Coastal morphodynamics Coastal management |
| spellingShingle |
Unmanned Aerial Vehicles (UAVs) Camera calibration Bathymetry estimation Coastal morphodynamics Coastal management Unmanned Aerial Vehicles (UAVs) Camera calibration Bathymetry estimation Coastal morphodynamics Coastal management Simarro, Gonzalo Calvete, Daniel Plomaritis, Theocharis A. Moreno-Noguer, Francesc Giannoukakou-Leontsini, Ifigeneia Montes, Juan Durán, Ruth The Influence of Camera Calibration on Nearshore Bathymetry Estimation from UAV Videos |
| description |
20 pages, 15 figures, 4 tables.-- Data Availability Statement: All data are available under request to the first auth |
| author2 |
Ministerio de Economía y Competitividad (España) |
| author_facet |
Ministerio de Economía y Competitividad (España) Simarro, Gonzalo Calvete, Daniel Plomaritis, Theocharis A. Moreno-Noguer, Francesc Giannoukakou-Leontsini, Ifigeneia Montes, Juan Durán, Ruth |
| format |
artículo |
| topic_facet |
Unmanned Aerial Vehicles (UAVs) Camera calibration Bathymetry estimation Coastal morphodynamics Coastal management |
| author |
Simarro, Gonzalo Calvete, Daniel Plomaritis, Theocharis A. Moreno-Noguer, Francesc Giannoukakou-Leontsini, Ifigeneia Montes, Juan Durán, Ruth |
| author_sort |
Simarro, Gonzalo |
| title |
The Influence of Camera Calibration on Nearshore Bathymetry Estimation from UAV Videos |
| title_short |
The Influence of Camera Calibration on Nearshore Bathymetry Estimation from UAV Videos |
| title_full |
The Influence of Camera Calibration on Nearshore Bathymetry Estimation from UAV Videos |
| title_fullStr |
The Influence of Camera Calibration on Nearshore Bathymetry Estimation from UAV Videos |
| title_full_unstemmed |
The Influence of Camera Calibration on Nearshore Bathymetry Estimation from UAV Videos |
| title_sort |
influence of camera calibration on nearshore bathymetry estimation from uav videos |
| publisher |
Multidisciplinary Digital Publishing Institute |
| publishDate |
2021-01-05 |
| url |
http://hdl.handle.net/10261/227864 http://dx.doi.org/10.13039/501100000780 http://dx.doi.org/10.13039/501100002809 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/501100011033 |
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