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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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Integration von Informationen über Echoverteilung und Rückstreuintensitäten in den Filterprozess von Laserdaten

TL;DR: In this article, a new Airborne Laserscanning (ALS) algorithm is proposed, which is based on the adaptive bestimmung of Gewichte innerhalb einer iterativen Flächenschätzung.
Journal ArticleDOI

Design a filter to detect and remove vegetation from ultra-cam-x aerial images’ point cloud to produce automatically digital elevation model

TL;DR: In this article, a filter for detecting and eliminating vegetation from point clouds is proposed, where point clouds' texture is used for finding vegetation and segmenting texture of point clouds by Otsu method.

Método integrado modificado para filtragem de malha de pontos tridimensional obtida via processamento fotogramétrico

TL;DR: In this paper, a modificacao do Metodo Integrado utilizado no processo de filtragem de malha de pontos tridimensionais a fim de obter o Modelo Digital do Terreno (MDT) was presented.
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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