Szczegóły publikacji
Opis bibliograficzny
Impact of Ground Control Points (GCPs) distribution and Unmanned Aerial Vehicle (UAV) flight parameters on accuracy of Digital Surface Model (DSM) / Edyta PUNIACH, Paweł ĆWIĄKAŁA, Hubert Dec // W: ”GIS ODYSSEY 2018” [Dokument elektroniczny] : geographic information systems conference and exhibition : 25th anniversary conference : 10th to 14th of September 2018, Perugia, Italy : conference proceedings / eds. Paweł Ćwiąkała, Anita Kwartnik-Pruc, Edyta Puniach. — Wersja do Windows. — Dane tekstowe. — Zagreb : Croatian Information Technology Society – GIS Forum, [2018]. — (Conference proceedings (GIS Odyssey. Online) ; ISSN 2623-5714). — S. 387–396. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: http://www.gis.us.edu.pl/index.php/conference-proceedings-2018 [2018-09-10]. — Bibliogr. s. 395–396, Abstr.
Autorzy (3)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 115969 |
|---|---|
| Data dodania do BaDAP | 2018-09-11 |
| Rok publikacji | 2018 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Czasopismo/seria | Conference proceedings (GIS Odyssey. Online) |
Abstract
Low-altitude UAV photogrammetry is a rapid and inexpensive method of acquiring spatial information. For this reason, its popularity has been growing steadily for several years, also on the surveying market. The use of new measurement techniques should be preceded by an analysis of factors affecting the accuracy and the quality of the products created. Nevertheless, there are no guidelines defining methods of data collection by means of the UAV allowing for generation of high quality surveying products. This article aims to study the accuracy of Digital Surface Model (DSM) and ortophotomaps obtained using the UAV, depending on configuration of photogrammetric control network and overlap of photos. For this purpose five UAV flights were conducted differing in forward and side overlaps of photos. Four different configurations of photogrammetric control network were also used. In total, 20 data sets have been developed. Theirs accuracy was verified using 68 check points and reference Digital Terrain Model (DTM).
