Object-based correction of LiDAR DEMs using RTK-GPS data and machine learning modeling in the coastal Everglades-Reference-Cited by-同舟云学术

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Object-based correction of LiDAR DEMs using RTK-GPS data and machine learning modeling in the coastal Everglades

Published:2019-02 Issue: Volume:112 Page:179-191
ISSN:1364-8152
Container-title:Environmental Modelling & Software
language:en
Short-container-title:Environmental Modelling & Software

Author:

Cooper Hannah M.,Zhang Caiyun,Davis Stephen E.,Troxler Tiffany G.

Funder

Everglades Foundation ForEverglades Fellowship

American Association of Geographers

National Science Foundation

Publisher

Elsevier BV

Subject

Ecological Modeling,Environmental Engineering,Software

Reference51 articles.

1. Instance-based learning algorithms;Aha;Mach. Learn.,1991

2. Random forest in remote sensing: a review of applications and future directions;Belgiu;ISPRS J. Photogrammetry Remote Sens.,2016

3. Multiresolution, object- oriented fuzzy analysis of remote sensing data for GIS-ready information;Benz;ISPRS J. Photogrammetry Remote Sens.,2004

4. Object based image analysis for remote sensing;Blaschke;ISPRS J. Photogrammetry Remote Sens.,2010

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

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