An investigation of image processing techniques for substrate classification based on dominant grain size using RGB images from UAV
author
Arif, Mohammad Shafi M.
Gülch, Eberhard
Tuhtan, Jeffrey Andrew
Thumser, Philipp
Haas, Christian
statement of authorship
Mohammad Shafi M. Arif, Eberhard Gülch, Jeffrey A. Tuhtan, Philipp Thumser and Christian Haas
source
International journal of remote sensing
publisher
Taylor & Francis
journal volume number month
vol. 38, 8-10
year of publication
2017
pages
p. 2639-2661 : ill
url
https://doi.org/10.1080/01431161.2016.1249309
subject term
kaugjuhitavad sõidukid
õhusõidukid
andmekogumine
andmetöötlus
pilditöötlus
keskkonnaseire
kaugseire
ISSN
0143-1161
notes
Bibliogr. p. 2660-2661
Special issue: Unmanned aerial vehicles for environmental applications
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/22674
https://www.scopus.com/record/display.uri?eid=2-s2.0-84992740249&origin=inward&txGid=dd221e2e9b0c2e1c88b3b2ead97f958d
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=INT%20J%20REMOTE%20SENS&year=2017
https://www.webofscience.com/wos/woscc/full-record/WOS:000397995100035
category (general)
Earth and planetary sciences
Maa- ja planeediteadused
category (sub)
Earth and planetary sciences. General earth and planetary sciences
Maa- ja planeediteadused. Üldised maa- ja planeediteadused
quartile
Q2
TalTech department
arvutisüsteemide instituut
language
inglise