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Multi-Level Interpolation-Based Filter for Airborne LiDAR Point Clouds in Forested Areas
- Source :
- IEEE Access, Vol 8, Pp 41000-41012 (2020)
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
Abstract
- Over the past decades, plenty of filtering algorithms have been presented to distinguish ground and non-ground points from airborne LiDAR point clouds. However, with the existing methods, it is difficult to derive satisfactory filtering results on rugged terrains with dense vegetation due to the low-level penetration ability of laser pulses. Therefore, a multi-level interpolation-based filter is developed in this paper. The novelty of the algorithm lies within its usage of multi-scale morphological operations and robust z-score to correctly select ground seeds as more as possible, and a terrain-adaptive residual threshold to adapt to various terrain characteristics. Rural samples provided by International Society for Photogrammetry and Remote Sensing (ISPRS) were employed to assess the performance of the proposed method and its results were compared with 15 filtering algorithms developed in recent 5 years (2015-2019). Results show that the proposed method with the optimized parameters produces the best accuracy with the average total error and kappa coefficient of 1.89% and 87.88%, respectively. We further filtered high-density point clouds in six forested areas with different vegetation covers and terrain slopes. Results demonstrate that the proposed algorithm is more accurate than the well-known filtering methods including morphological-based filter, progressive TIN densification filter (PTD), improved PTD and cloth simulation filter, with the average total error decreased by 26.2%, 19.9%, 3.8% and 40.4%, respectively. Moreover, the DEMs of the proposed method have lower average root mean square errors than the four classical filters. Therefore, the proposed method can be considered as an effective ground filtering algorithm for airborne LiDAR point clouds in forested areas.
- Subjects :
- 010504 meteorology & atmospheric sciences
General Computer Science
0211 other engineering and technologies
General Engineering
Point cloud
Terrain
02 engineering and technology
Filter (signal processing)
Residual
01 natural sciences
interpolation
Root mean square
Cohen's kappa
Lidar
Photogrammetry
digital elevation model
Environmental science
General Materials Science
lcsh:Electrical engineering. Electronics. Nuclear engineering
Filtering
lcsh:TK1-9971
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Remote sensing
point cloud
Subjects
Details
- Language :
- English
- ISSN :
- 21693536 and 20152019
- Volume :
- 8
- Database :
- OpenAIRE
- Journal :
- IEEE Access
- Accession number :
- edsair.doi.dedup.....8b6537a278de7c90b07d7e3db01b290a