dc.rights.license | Kūrybinių bendrijų licencija / Creative Commons licence | en_US |
dc.contributor.author | Wierzbicki, Damian | |
dc.contributor.author | Fryskowska, Anna | |
dc.date.accessioned | 2024-10-11T11:47:29Z | |
dc.date.available | 2024-10-11T11:47:29Z | |
dc.date.issued | 2017 | |
dc.identifier.issn | 2029-7092 | en_US |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/155184 | |
dc.description.abstract | The issue of imagery data collection and its implementation in photogrammetric studies with the use of unmanned aerial vehicles is still valid and provides a wide field of research in the creation of new and expansion of existing solutions. It is particularly important to increase the accuracy of photogrammetric products. These days low altitude unmanned aerial vehicles are being used more and more often in photogrammetric applications. Compact digital cameras had acquired single, high-resolution imagery. Data obtained from low altitudes were often (and still are) used in mapping and 3D modelling. Due to the low costs of flights of UAV systems in comparison with traditional flights, applications of such platforms are also attractive for many remote sensing applications. However, due to the use of non-metric video cameras, one of the main problems when trying to automate the video data processing, is the video sequences’ relatively poor radiometric quality. The article addresses the issue of assessing the quality of the video imagery acquired from a low altitude UAV platform. The Authors presented quality Indicators dedicated to UAV video sequences. The method is based on the analysis of the video stream, obtained in the different weather and lighting conditions. As a result of the research, an objective quality index for video acquired from low altitudes was determined. | en_US |
dc.format.extent | 8 p. | en_US |
dc.format.medium | Tekstas / Text | en_US |
dc.language.iso | en | en_US |
dc.relation.uri | https://etalpykla.vilniustech.lt/handle/123456789/154497 | en_US |
dc.rights | Attribution-NonCommercial 4.0 International | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | en_US |
dc.source.uri | http://enviro.vgtu.lt/index.php/enviro/2017/paper/view/344 | en_US |
dc.subject | low altitude photogrammetry | en_US |
dc.subject | unmanned aerial vehicle | en_US |
dc.subject | video | en_US |
dc.subject | radiometric quality | en_US |
dc.title | Radiometric quality assessment of video sequences acquired from UAV photogrammetric systems | en_US |
dc.type | Konferencijos publikacija / Conference paper | en_US |
dcterms.accessRights | Laisvai prieinamas / Openly available | en_US |
dcterms.alternative | Technologies of geodesy and cadastre | en_US |
dcterms.issued | 2017-04-28 | |
dcterms.license | CC BY NC | en_US |
dcterms.references | 41 | en_US |
dc.description.version | Taip / Yes | en_US |
dc.contributor.institution | Military University of Technology | en_US |
dcterms.sourcetitle | 10th International Conference “Environmental Engineering” (ICEE-2017) | en_US |
dc.identifier.eisbn | 9786094760440 | en_US |
dc.identifier.eissn | 2029-7092 | en_US |
dc.publisher.name | Vilnius Gediminas Technical University | en_US |
dc.publisher.name | Vilniaus Gedimino technikos universitetas | en_US |
dc.publisher.country | Lithuania | en_US |
dc.publisher.country | Lietuva | en_US |
dc.publisher.city | Vilnius | en_US |
dc.description.fundingorganization | Civil Engineering and Geodesy Military university of Technology | en_US |
dc.description.fundingorganization | Geodesy Institute | en_US |
dc.identifier.doi | https://doi.org/10.3846/enviro.2017.249 | en_US |