Testing the reliability and stability of the internal accuracy assessment of random forest for classifying tree defoliation levels using different validation methods-Reference-Cited by-同舟云学术

Testing the reliability and stability of the internal accuracy assessment of random forest for classifying tree defoliation levels using different validation methods

Published:2015-02-04 Issue:7 Volume:30 Page:810-821
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Adelabu Samuel,Mutanga Onisimo,Adam Elhadi

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

http://www.tandfonline.com/doi/pdf/10.1080/10106049.2014.997303

Reference24 articles.

1. Discriminating the papyrus vegetation (Cyperus papyrusL.) and its co-existent species using random forest and hyperspectral data resampled to HYMAP

2. Employing ground and satellite-based QuickBird data and random forest to discriminate five tree species in a Southern African Woodland

3. Evaluating the impact of red-edge band from Rapideye image for classifying insect defoliation levels

4. Spectral Discrimination of Insect Defoliation Levels in Mopane Woodland Using Hyperspectral Data

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