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

Anders Krogh Mortensen; Morten Stigaard Laursen; Rasmus Nyholm Jørgensen; René Gislum

doi:10.3920/978-90-8686-888-9_118

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

Anders Krogh Mortensen, Morten Stigaard Laursen, Rasmus Nyholm Jørgensen, René Gislum

Institut for Agroøkologi - Afgrødesundhed

Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferencebidrag i proceedings › Forskning › peer review

4 Citationer (Scopus)

Abstract

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.

Originalsprog	Engelsk
Titel	Precision Agriculture '19 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019
Redaktører	John V. Stafford
Antal sider	7
Udgivelsessted	Wageningen
Forlag	Wageningen Academic Publishers
Publikationsdato	2019
Sider	959-965
ISBN (Trykt)	978-90-8686-337-2
ISBN (Elektronisk)	978-90-8686-888-9
DOI	https://doi.org/10.3920/978-90-8686-888-9_118
Status	Udgivet - 2019
Begivenhed	The 12th European Conference on Precision Agriculture - Montpellier, Frankrig Varighed: 8 jul. 2019 → 11 jul. 2019 https://ecpa2019.agrotic.org

Konference

Konference	The 12th European Conference on Precision Agriculture
Land/Område	Frankrig
By	Montpellier
Periode	08/07/2019 → 11/07/2019
Internetadresse	https://ecpa2019.agrotic.org

Emneord

drone
software
maps
Unmanned aerial vehicle

Adgang til dokumentet

10.3920/978-90-8686-888-9_118

Andre filer og links

http://www.scopus.com/inward/record.url?scp=85073726576&partnerID=8YFLogxK

Drone dataflow - a MATLAB toolbox for extracting plots from images captured by a UAV
Mortensen, A. K. (Foredragsholder)
11 jul. 2019
Aktivitet: Præsentationer, medlemskaber, ansættelser, ejerskab og andre aktiviteter › Foredrag og mundtlige bidrag

Citationsformater

Mortensen, A. K., Laursen, M. S., Nyholm Jørgensen, R., & Gislum, R. (2019). Drone dataflow - a MATLAB toolbox for extracting plots from images captured by a UAV. I J. V. Stafford (red.), Precision Agriculture '19 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019 (s. 959-965). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-888-9_118

Mortensen, Anders Krogh ; Laursen, Morten Stigaard ; Nyholm Jørgensen, Rasmus et al. / Drone dataflow - a MATLAB toolbox for extracting plots from images captured by a UAV. Precision Agriculture '19 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019. red. / John V. Stafford. Wageningen : Wageningen Academic Publishers, 2019. s. 959-965

@inproceedings{a9eaf98489b846d2baa156ea9345decd,

title = "Drone dataflow - a MATLAB toolbox for extracting plots from images captured by a UAV",

abstract = "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.",

keywords = "drone, software, maps, Unmanned aerial vehicle",

author = "Mortensen, {Anders Krogh} and Laursen, {Morten Stigaard} and {Nyholm J{\o}rgensen}, Rasmus and Ren{\'e} Gislum",

year = "2019",

doi = "10.3920/978-90-8686-888-9_118",

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isbn = "978-90-8686-337-2",

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booktitle = "Precision Agriculture '19 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019",

publisher = "Wageningen Academic Publishers",

note = "The 12th European Conference on Precision Agriculture ; Conference date: 08-07-2019 Through 11-07-2019",

url = "https://ecpa2019.agrotic.org",

}

Mortensen, AK, Laursen, MS, Nyholm Jørgensen, R & Gislum, R 2019, Drone dataflow - a MATLAB toolbox for extracting plots from images captured by a UAV. i JV Stafford (red.), Precision Agriculture '19 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019. Wageningen Academic Publishers, Wageningen, s. 959-965, The 12th European Conference on Precision Agriculture, Montpellier, Frankrig, 08/07/2019. https://doi.org/10.3920/978-90-8686-888-9_118

Drone dataflow - a MATLAB toolbox for extracting plots from images captured by a UAV. / Mortensen, Anders Krogh; Laursen, Morten Stigaard; Nyholm Jørgensen, Rasmus et al.
Precision Agriculture '19 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019. red. / John V. Stafford. Wageningen: Wageningen Academic Publishers, 2019. s. 959-965.

Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferencebidrag i proceedings › Forskning › peer review

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AU - Nyholm Jørgensen, Rasmus

AU - Gislum, René

PY - 2019

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N2 - 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.

AB - 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.

KW - drone

KW - software

KW - maps

KW - Unmanned aerial vehicle

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U2 - 10.3920/978-90-8686-888-9_118

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M3 - Article in proceedings

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SP - 959

EP - 965

BT - Precision Agriculture '19 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019

A2 - Stafford, John V.

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T2 - The 12th European Conference on Precision Agriculture

Y2 - 8 July 2019 through 11 July 2019

ER -

Mortensen AK, Laursen MS, Nyholm Jørgensen R , Gislum R. Drone dataflow - a MATLAB toolbox for extracting plots from images captured by a UAV. I Stafford JV, red., Precision Agriculture '19 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019. Wageningen: Wageningen Academic Publishers. 2019. s. 959-965 doi: 10.3920/978-90-8686-888-9_118

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

Abstract

Konference

Emneord

Adgang til dokumentet

Andre filer og links

Fingeraftryk

Aktiviteter

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

Citationsformater