Abstract
Abstract. Nowadays UAV photogrammetry becomes a common method for mapping and surveying. At the same time due to the increasing range of work carried out with UAV, the importance of final product accuracy increases. However to obtain survey-grade accuracy it is necessary to perform bundle adjustment processes that could be affected by multiple factors like unstable camera calibration, correlation between interior and exterior orientation and insufficient georeference information. One of the aims of the project was to prepare the terrestrial test field, which helps to obtain optimal decorrelation and allows to objectively assess the accuracy of the bundle adjustment in UAV application. During the project, two multi-variant flights over the test field were conducted. The flights were performed with a fixed-wing airframe equipped with PPK receiver on-board. Based on the conducted flights, many data sets have been prepared, which differ as follows: types of cameras, GSD, flight direction and georeferenced method.
Highlights
Nowadays UAV photogrammetry becomes a common method for mapping and surveying
The estimation of those parameters is affected due to their high correlation. On this account the classical photogrammetry capture images using metric cameras which internal is orientation is performed autonomously in laboratory or in field test. This way does not work in UAV survey application due to using light consumer-grade cameras with unstable internal orientation
The issue of poor stability of internal orientation of cameras was described by Cramer and co-authors (Cramer, 2017)
Summary
Nowadays UAV photogrammetry becomes a common method for mapping and surveying. At the same time due to the increasing range of work carried out with UAV, the importance of final product accuracy increases. To obtain survey-grade accuracy it is necessary to perform bundle adjustment processes that could be affected by multiple factors like unstable camera calibration, correlation between interior and exterior orientation and insufficient georeference information. The estimation of those parameters is affected due to their high correlation On this account the classical photogrammetry capture images using metric cameras which internal is orientation is performed autonomously in laboratory or in field test. This way does not work in UAV survey application due to using light consumer-grade cameras with unstable internal orientation. The fundamental question is about the minimal number of GCPs and its localization in elaborated area which are need to achieve a good precision of image orientation. Due to various characteristic of mapped area (size, shape, relief, land cover) there are no universal rules about optimal number of GCPs and their spatial distribution
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
