Photogrammetric UAV Mapping of Terrain under Dense Coastal Vegetation: An Object-Oriented Classification Ensemble Algorithm for Classification and Terrain Correction

Photogrammetric UAV Mapping of Terrain under Dense Coastal Vegetation: An Object-Oriented Classification Ensemble Algorithm for Classification and Terrain Correction

Photogrammetric UAV sees a surge in use for high-resolution mapping, but its use to map terrain under dense vegetation cover remains challenging due to a lack of exposed ground surfaces. This paper presents a novel object-oriented classification ensemble algorithm to leverage height, texture and con...

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Bibliographic Details
Main Authors: Xuelian Meng, Nan Shang, Xukai Zhang, Chunyan Li, Kaiguang Zhao, Xiaomin Qiu, Eddie Weeks
Format: Article
Language:English
Published: MDPI AG 2017-11-01
Series:Remote Sensing
Subjects:
photogrammetric UAV
high resolution
coastal topographic mapping
wetland restoration
classification correction
terrain correction
object-oriented analysis
classification ensemble
Online Access:https://www.mdpi.com/2072-4292/9/11/1187

Internet

https://www.mdpi.com/2072-4292/9/11/1187

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