Random Forest with semantic tie points for classifying landforms and creating rigorous shaded relief representations-Reference-Cited by-同舟云学术

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Random Forest with semantic tie points for classifying landforms and creating rigorous shaded relief representations

Published:2014-11 Issue: Volume:224 Page:152-160
ISSN:0169-555X
Container-title:Geomorphology
language:en
Short-container-title:Geomorphology

Author:

Veronesi F.,Hurni L.

Publisher

Elsevier BV

Subject

Earth-Surface Processes

Reference48 articles.

1. Segmentation optimization and stratified object-based analysis for semi-automated geomorphological mapping;Anders;Remote Sens. Environ.,2011

2. Random forests;Breiman;Mach. Learn.,2001

3. Manual on Setting Up, Using, and Understanding Random Forests V4.0;Breiman,2003

4. Classification and Regression Trees;Breiman,1984

5. Spatial prediction models for landslide hazards: review, comparison and evaluation;Brenning;Nat. Hazards Earth Syst. Sci.,2005

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