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http://hdl.handle.net/10261/216309
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Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Campo DC | Valor | Lengua/Idioma |
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dc.contributor.author | Simarro, Gonzalo | es_ES |
dc.contributor.author | Calvete, Daniel | es_ES |
dc.contributor.author | Souto, Paola | es_ES |
dc.contributor.author | Guillén, Jorge | es_ES |
dc.date.accessioned | 2020-07-09T07:48:59Z | - |
dc.date.available | 2020-07-09T07:48:59Z | - |
dc.date.issued | 2020-06 | - |
dc.identifier.citation | Remote Sensing 12(11): 1840 (2020) | es_ES |
dc.identifier.other | CEX2019-000928-S | - |
dc.identifier.uri | http://hdl.handle.net/10261/216309 | - |
dc.description | 14 pages, 13 figures, supplementary material https://doi.org/10.3390/rs12111840 | es_ES |
dc.description.abstract | Joint intrinsic and extrinsic calibration from a single snapshot is a common requirement in coastal monitoring practice. This work analyzes the influence of different aspects, such as the distribution of Ground Control Points (GCPs) or the image obliquity, on the quality of the calibration for two different mathematical models (one being a simplification of the other). The performance of the two models is assessed using extensive laboratory data (i.e., snapshots of a grid). While both models are able to properly adjust the GCPs, the simpler model gives a better overall performance when the GCPs are not well distributed over the image. Furthermore, the simpler model allows for better recovery of the camera position and orientation | es_ES |
dc.description.sponsorship | This research was funded by the Spanish Government (MINECO/MICINN/FEDER) grant numbers RTI2018-093941-B-C32, and RTI2018-093941-B-C33 | es_ES |
dc.description.sponsorship | With the funding support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), of the Spanish Research Agency (AEI) | - |
dc.language.iso | eng | es_ES |
dc.publisher | Multidisciplinary Digital Publishing Institute | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-093941-B-C32 | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-093941-B-C33 | es_ES |
dc.relation.isversionof | Publisher's version | es_ES |
dc.rights | openAccess | es_ES |
dc.subject | Coastal video monitoring | es_ES |
dc.subject | Camera calibration | es_ES |
dc.subject | Sensitivity analysis | es_ES |
dc.title | Camera Calibration for Coastal Monitoring Using Available Snapshot Images | es_ES |
dc.type | artículo | es_ES |
dc.identifier.doi | 10.3390/rs12111840 | - |
dc.description.peerreviewed | Peer reviewed | es_ES |
dc.relation.publisherversion | https://doi.org/10.3390/rs12111840 | es_ES |
dc.identifier.e-issn | 2072-4292 | - |
dc.rights.license | https://creativecommons.org/licenses/by/4.0/ | es_ES |
dc.contributor.funder | Ministerio de Ciencia, Innovación y Universidades (España) | es_ES |
dc.contributor.funder | Ministerio de Economía y Competitividad (España) | es_ES |
dc.contributor.funder | European Commission | es_ES |
dc.contributor.funder | Agencia Estatal de Investigación (España) | - |
dc.relation.csic | Sí | es_ES |
oprm.item.hasRevision | no ko 0 false | * |
dc.identifier.funder | http://dx.doi.org/10.13039/501100000780 | es_ES |
dc.identifier.funder | http://dx.doi.org/10.13039/501100003329 | es_ES |
dc.identifier.funder | http://dx.doi.org/10.13039/501100011033 | es_ES |
dc.type.coar | http://purl.org/coar/resource_type/c_6501 | es_ES |
item.languageiso639-1 | en | - |
item.fulltext | With Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | open | - |
item.openairetype | artículo | - |
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Simarro_et_al_2020.pdf | 799,04 kB | Adobe PDF | Visualizar/Abrir | |
Simarro_et_al_2020_suppl.pdf | 8,84 MB | Adobe PDF | Visualizar/Abrir |
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