Evaluating techniques for mapping island vegetation from unmanned aerial vehicle (UAV) images: Pixel classification, visual interpretation and machine learning approaches-Reference-Cited by-同舟云学术

Evaluating techniques for mapping island vegetation from unmanned aerial vehicle (UAV) images: Pixel classification, visual interpretation and machine learning approaches

Published:2020-07 Issue: Volume:89 Page:102085
ISSN:0303-2434
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Hamylton S.M.,Morris R.H.,Carvalho R.C.,Roder N.,Barlow P.,Mills K.,Wang L.

Funder

GeoQuest Research Institute

Foundation for National Parks and Wildlife

NSW Environmental Trust Grant

Port Kembla Community Investment Fund

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference31 articles.

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4. Local learning algorithms;Bottou;Neural Comput.,1992

5. Seabird islands: big Island, Five Islands Group, New South Wales;Carlile;Corella,2017

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