UAV-Based Terrain Modeling under Vegetation in the Chinese Loess Plateau: A Deep Learning and Terrain Correction Ensemble Framework

UAV-Based Terrain Modeling under Vegetation in the Chinese Loess Plateau: A Deep Learning and Terrain Correction Ensemble Framework

Accurate topographic mapping is a critical task for various environmental applications because elevation affects hydrodynamics and vegetation distributions. UAV photogrammetry is popular in terrain modelling because of its lower cost compared to laser scanning. However, this method is restricted in...

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Bibliographic Details
Main Authors: Jiaming Na, Kaikai Xue, Liyang Xiong, Guoan Tang, Hu Ding, Josef Strobl, Norbert Pfeifer
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Remote Sensing
Subjects:
UAV photogrammetry
terrain modeling
vegetation removal
deep learning
Online Access:https://www.mdpi.com/2072-4292/12/20/3318

Internet

https://www.mdpi.com/2072-4292/12/20/3318

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