Drone dataflow - a MATLAB toolbox for extracting plots from images captured by a UAV

Publikation: Bidrag til bog/antologi/rapport/proceedingKonferencebidrag i proceedingsForskningpeer review

The use of unmanned aerial vehicles (UAVs) with mounted cameras has seen a rapid increase in popularity within precision agriculture research for surveying fields. Typically, the collected images are stitched into georeferenced maps using photogrammetry software. This paper proposes a MATLAB toolbox for easing the workflow. The toolbox consists of two modules: (1) detection of ground control points in images collected by UAVs; and (2) extraction of regions-of-interest from georeferenced maps generated from the images. Use of the toolbox is exemplified on selected plots from a plot experiment throughout a growing season.

OriginalsprogEngelsk
TitelPrecision Agriculture '19 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019
RedaktørerJohn V. Stafford
Antal sider7
UdgivelsesstedWageningen
ForlagWageningen Academic Publishers
Udgivelsesår2019
Sider959-965
ISBN (trykt)978-90-8686-337-2
ISBN (Elektronisk)978-90-8686-888-9
DOI
StatusUdgivet - 2019
BegivenhedThe 12th European Conference on Precision Agriculture - Montpellier, Frankrig
Varighed: 8 jul. 201911 jul. 2019
https://ecpa2019.agrotic.org

Konference

KonferenceThe 12th European Conference on Precision Agriculture
LandFrankrig
ByMontpellier
Periode08/07/201911/07/2019
Internetadresse

    Forskningsområder

  • drone, software, maps, Unmanned aerial vehicle

Se relationer på Aarhus Universitet Citationsformater

Aktiviteter

ID: 162641259