EventsThe 2nd International Electronic Conference on Forests — Sustainable Forests: Ecology, Management, Products and Trade
Published
with-doi10.3390/IECF2021-10819 (registering DOI)
This submission belongs to the session S4. Forest Inventory, Modeling and Remote Sensing of the event The 2nd International Electronic Conference on Forests — Sustainable Forests: Ecology, Management, Products and Trade
Published date
31 Aug, 2021
Academic Editor
author-avatarLotus Guo
Citation
Fatemeh Moradi, Farhad samadzadegan, Farzaneh Dadrass Javan, Ahmad Toosi, Tree detection using UAV based imagery system based on Random Forest classification, in Proceedings of The 2nd International Electronic Conference on Forests — Sustainable Forests: Ecology, Management, Products and Trade, 1 September–15 September 2021, MDPI: Basel, Switzerland, doi: 10.3390/IECF2021-10819
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Tree detection using UAV based imagery system based on Random Forest classification

Fatemeh Moradi 1
1. School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran
2. Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7522 NB Enschede, the Netherlands
Abstract
Keywords
remote sensing
unmanned aerial vehicles ,classification