A feature-preserving point cloud denoising algorithm for LiDAR-derived DEM construction-Reference-Cited by-同舟云学术

A feature-preserving point cloud denoising algorithm for LiDAR-derived DEM construction

Published:2019-12-23 Issue:377 Volume:53 Page:146-157
ISSN:0039-6265
Container-title:Survey Review
language:en
Short-container-title:Survey Review

Author:

Chen Chuanfa¹²,Gao Yuan¹²,Li Yanyan¹²

Affiliation:

1. Key Laboratory of Geomatics and Digital Technology of Shandong Province, Shandong University of Science and Technology, Qingdao 266590, People’s Republic of China

2. College of Geomatics, Shandong University of Science and Technology, Qingdao 266590, People’s Republic of China

Funder

National Natural Science Foundation of Shandong Province (CN ) China

Shandong Provincial Natural Science Foundation

Shandong University of Science and Technology

Cold and Arid Regions Science Data Center

Publisher

Informa UK Limited

Subject

Earth and Planetary Sciences (miscellaneous),Computers in Earth Sciences,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00396265.2019.1704562

Reference40 articles.

1. LIDAR density and linear interpolator effects on elevation estimates

2. A comparative analysis of different DEM interpolation methods

3. Evaluating error associated with lidar-derived DEM interpolation

4. Smooth fitting of geophysical data using continuous global surfaces

5. A multiresolution hierarchical classification algorithm for filtering airborne LiDAR data

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