Advanced accuracy tests of datasets gathered by UAVs
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13520%2F17%3A43893366" target="_blank" >RIV/44555601:13520/17:43893366 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.5593/sgem2017/23/S10.001" target="_blank" >http://dx.doi.org/10.5593/sgem2017/23/S10.001</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5593/sgem2017/23/S10.001" target="_blank" >10.5593/sgem2017/23/S10.001</a>
Alternative languages
Result language
angličtina
Original language name
Advanced accuracy tests of datasets gathered by UAVs
Original language description
The availability of drones and other types of UAVs makes this method very popular for gathering spatial data for different purposes. The derived orthophotos and digital surface models have wide usage in many branches. One of the UAV survey mission requirement are the Ground Control Points (GCP) allowing the resulting data to be georeferenced and overlaid with other data sources. Some UAVs may be equipped with the IMU (Inertial Measurement Unit) and precise GNSS receiver ? the Trimble UHX-5 in our case. The quality of the GCPs or the data recorded by the IMU are crucial for the accuracy of the resulting datasets, influencing all the on following research. This article deals with the accuracy of the data (orthophoto, digital surface model) processed based on the Yaw, Pitch and Roll angles and image center coordinates recorded by the IMU. Large dataset of precisely surveyed points was used as the reference data and the advanced accuracy tests using the methods of geostatistics were performed. All of the geostatistical tests are based on the analysis of the differences in-between the surveyed and the reference data. The three main conditions were tested within the resulting dataset: the normality of the differences distribution, the spatial independences of the differences and the differences independence on the elevation.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
SGEM2017 Conference Proceedings, Volume 17
ISBN
978-619-7408-03-4
ISSN
1314-2704
e-ISSN
neuvedeno
Number of pages
8
Pages from-to
3-10
Publisher name
STEF92 Technology Ltd., Bulgaria
Place of publication
Albena
Event location
Albena; Bulgaria
Event date
Jun 29, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—