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Journal ArticleDOI

Experimental comparison of filter algorithms for bare-Earth extraction from airborne laser scanning point clouds

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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.

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Citations
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Journal ArticleDOI

UAV and Soft Computing Methodology for Monitoring Landslide Areas (Susceptibility to Landslides and Early Warning)

TL;DR: In this paper, the authors created a map of the susceptibility to landslides in GIS environment using neural network, Analytical Hierarchy Process (AHP) multicriteria analysis method and fuzzy methodology, producing five categories (levels) of risk.

Voxel-Based LIDAR Analysis and Applications

TL;DR: In this paper, a volumetric voxelization technique is used to model scenes from LIDAR data, including better handling of overlapping surfaces and complex shapes, which is validated on simulated data using the Digital Imaging and Remote Sensing Image Generation (DIRSIG) software.
Journal ArticleDOI

Assessment of DSM Based on Radiometric Transformation of UAV Data

TL;DR: In this paper, the authors used UAV Light Detection and Ranging (LIDAR) data from 80 m and UAV Drone data from 300 and 500 m flying height to assess low-cost UAV data using image radiometric transformation techniques and investigate its effects on global and local accuracy of the Digital Surface Model.
References
More filters
Journal ArticleDOI

Determination of terrain models in wooded areas with airborne laser scanner data

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.
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