A parameter-free progressive TIN densification filtering algorithm for lidar point clouds-Reference-Cited by-同舟云学术

A parameter-free progressive TIN densification filtering algorithm for lidar point clouds

Published:2018-05-01 Issue:20 Volume:39 Page:6969-6982
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Shi Xiaotian¹,Ma Hongchao¹²,Chen Yawei³,Zhang Liang⁴,Zhou Weiwei¹

Affiliation:

1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China

2. Department of computer science, Institute for Big Data Analytics, Dalhousie University, Halifax, Canada

3. Department of land resources of Gansu province, Lanzhou, China

4. Faculty of Resources and Environmental Science, Hubei University, Wuhan, China

Funder

the National Science Foundation for Young Scientists of China

the National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2018.1468109

Reference24 articles.

1. A slope movement in a complex rock formation: Deformation measurements and DEM modelling

2. Terrain Modeling From Lidar Range Data in Natural Landscapes: A Predictive and Bayesian Framework

3. Chen, L., X. T. Fan, and X. P. Du, and Iop. (2013). “Comparisons of adaptive TIN modelling filtering method and threshold segmentation filtering method of LiDAR point cloud.” 8th International Symposium of the Digital Earth (ISDE) (Vol. 18). Univ Teknologi Malaysia, Inst Geospatial Sci & Technol. Kuching, MALAYSIA: Iop Publishing Ltd.

4. An Image-Segmentation-Based Urban DTM Generation Method Using Airborne Lidar Data

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