Standard

Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery. / Gao, Junfeng; Lao, Wenzhi; Nuyttens, David; Lootens, Peter; Vangeyte, Jürgen; Pizurica, Aleksandra; He, Yong; Pieters, Jan.

In: International Journal of Applied Earth Observation and Geoinformation, Vol. 67, 10.01.2018, blz. 43-53.

Onderzoeksoutput: Bijdrage aan tijdschriftA1: Web of Science-artikel

Harvard

Gao, J, Lao, W, Nuyttens, D, Lootens, P, Vangeyte, J, Pizurica, A, He, Y & Pieters, J 2018, 'Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery', International Journal of Applied Earth Observation and Geoinformation, vol. 67, blz. 43-53.

APA

Gao, J., Lao, W., Nuyttens, D., Lootens, P., Vangeyte, J., Pizurica, A., ... Pieters, J. (2018). Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery. International Journal of Applied Earth Observation and Geoinformation, 67, 43-53.

Vancouver

Gao J, Lao W, Nuyttens D, Lootens P, Vangeyte J, Pizurica A et al. Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery. International Journal of Applied Earth Observation and Geoinformation. 2018 jan 10;67:43-53.

Author

Gao, Junfeng ; Lao, Wenzhi ; Nuyttens, David ; Lootens, Peter ; Vangeyte, Jürgen ; Pizurica, Aleksandra ; He, Yong ; Pieters, Jan. / Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery. In: International Journal of Applied Earth Observation and Geoinformation. 2018 ; Vol. 67. blz. 43-53.

Bibtex

@article{2f7d31308f6b423e967beff58b9f3f70,
title = "Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery",
author = "Junfeng Gao and Wenzhi Lao and David Nuyttens and Peter Lootens and J{\"u}rgen Vangeyte and Aleksandra Pizurica and Yong He and Jan Pieters",
year = "2018",
month = "1",
day = "10",
language = "English",
volume = "67",
pages = "43--53",
journal = "International Journal of Applied Earth Observation and Geoinformation",
issn = "0303-2434",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery

AU - Gao, Junfeng

AU - Lao, Wenzhi

AU - Nuyttens, David

AU - Lootens, Peter

AU - Vangeyte, Jürgen

AU - Pizurica, Aleksandra

AU - He, Yong

AU - Pieters, Jan

PY - 2018/1/10

Y1 - 2018/1/10

M3 - A1: Web of Science-article

VL - 67

SP - 43

EP - 53

JO - International Journal of Applied Earth Observation and Geoinformation

JF - International Journal of Applied Earth Observation and Geoinformation

SN - 0303-2434

ER -