Journal ArticleDOI
Experimental comparison of filter algorithms for bare-Earth extraction from airborne laser scanning point clouds
G. Sithole,George Vosselman +1 more
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TLDR
In general, filters that estimate local surfaces are found to perform best and should be directed towards the usage of additional data sources, segment-based classification, and self-diagnosis of filter algorithms.Abstract:
Over the past years, several filters have been developed to extract bare-Earth points from point clouds. ISPRS Working Group III/3 conducted a test to determine the performance of these filters and the influence of point density thereon, and to identify directions for future research. Twelve selected datasets have been processed by eight participants. In this paper, the test results are presented. The paper describes the characteristics of the provided datasets and the used filter approaches. The filter performance is analysed both qualitatively and quantitatively. All filters perform well in smooth rural landscapes, but all produce errors in complex urban areas and rough terrain with vegetation. In general, filters that estimate local surfaces are found to perform best. The influence of point density could not well be determined in this experiment. Future research should be directed towards the usage of additional data sources, segment-based classification, and self-diagnosis of filter algorithms.read more
Citations
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Journal ArticleDOI
Geodetic laser scanning
TL;DR: In this paper, GLS can reveal the fine structure of such features as faults, landslides, and drainage patterns, and produce surface maps at sub-meter resolution, even over heavily forested terrain.
Journal ArticleDOI
Threshold-free object and ground point separation in LIDAR data
M. Bartels,Hong Wei +1 more
TL;DR: The framework for a recently developed unsupervised classification algorithm called Skewness Balancing for object and ground point separation in airborne LIDAR data is presented, which shows that from the classified tiles detached objects and attached objects are separated from bare earth which makes Skewnell Balancing ideal to be integrated into geographic information system (GIS) software packages.
Journal ArticleDOI
A method for parameterising roughness and topographic sub-grid scale effects in hydraulic modelling from LiDAR data
TL;DR: In this paper, a spatially and temporally distributed method for roughness parameterization is proposed, taking into account the scale-dependency between roughness and topographic content.
Journal ArticleDOI
Optimisation of LiDAR derived terrain models for river flow modelling
TL;DR: In this paper, a DTM thinning approach based on adaptive TIN refinement was proposed to compress the point data while preserving the most relevant topographic features (height tolerance ±20 cm).
Journal ArticleDOI
Two-step adaptive extraction method for ground points and breaklines from lidar point clouds
TL;DR: In this article, the ground points and breaklines are extracted from airborne LiDAR point clouds using segment-based filtering and multi-scale morphological filtering, and the proposed method removes amorphous objects from the set of individual points to decrease the effect of the maximum scale on the filtering result.
References
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Journal ArticleDOI
Determination of terrain models in wooded areas with airborne laser scanner data
K. Kraus,Norbert Pfeifer +1 more
TL;DR: In this article, the characteristics of laser scanning are compared to photogrammetry with reference to a big pilot project and the results are in accordance with the expectations, however, the geomorphologic quality of the contours, computed from a terrain model derived from laser scanning, needs to be improved.
Journal ArticleDOI
Processing of laser scanner data-algorithms and applications
TL;DR: This paper presents some methods and algorithms concerning filtering for determining the ground surface, DEM, classification of buildings for 3D City Models and the detection of electrical power lines.
Slope based filtering of laser altimetry data
TL;DR: In this article, a new method is proposed for filtering laser data, which is closely related to the erosion operator used for mathematical grey scale morphology, based on height differences in a representative training dataset, filter functions are derived that either preserve important terrain characteristics or minimise the number of classification errors.