Advanced accuracy tests of datasets gathered by UAVs

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Advanced accuracy tests of datasets gathered by UAVs

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Advanced accuracy tests of datasets gathered by UAVs

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

SGEM2017 Conference Proceedings, Volume 17

ISBN

978-619-7408-03-4

ISSN

1314-2704

e-ISSN

neuvedeno

Počet stran výsledku

8

Strana od-do

3-10

Název nakladatele

STEF92 Technology Ltd., Bulgaria

Místo vydání

Albena

Místo konání akce

Albena; Bulgaria

Datum konání akce

29. 6. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—