Journal ArticleDOI
Experimental comparison of filter algorithms for bare-Earth extraction from airborne laser scanning point clouds
G. Sithole,George Vosselman +1 more
Reads0
Chats0
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
More filters
Journal ArticleDOI
A mathematical morphology-based multi-level filter of LiDAR data for generating DTMs
TL;DR: Both the qualitative and quantitative experiment analyses show that the morphology-based multi-level filter method achieves promising results, not only in flat urban areas but also in rural areas, especially in preserving complex terrain details, while non-ground spatial objects are removed.
Journal ArticleDOI
Filtering airborne lidar data by an improved morphological method based on multi-gradient analysis
TL;DR: In this paper, a novel morphological filtering algorithm is proposed based on multi-gradient analysis in terms of the characteristic of LIDAR data distribution in order to address the bare-ground extraction from LidAR point clouds of complex landscapes.
Journal ArticleDOI
Regional snow-avalanche detection using object-based image analysis of near-infrared aerial imagery
TL;DR: In this article, the authors focused on automatically detecting avalanches and classifying them into release zones, tracks, and run-out zones based on 0.25m near-infrared (NIR) ADS80-SH92 aerial imagery using an object-based image analysis (OBIA) approach.
Direct Acquisition of Data: Airborne laser scanning
Michal Gallay,Pavol Jozef +1 more
TL;DR: Airborne laser scanning (ALS) is an active remote sensing method capable of highly detailed land surface mapping even in conditions where other methods meet their limitations as mentioned in this paper, which can be used for studying earth surface processes and landforms under the vegetation canopy.
Journal ArticleDOI
Detecting Forest Road Wearing Course Damage Using Different Methods of Remote Sensing
Petr Hrůza,Tomáš Mikita,Nataliya Tyagur,Zdenek Krejza,Miloš Cibulka,Andrea Procházková,Zdeněk Patočka +6 more
TL;DR: Close range photogrammetry appears to be the most appropriate method for damage detection of forest roads due to the time needed and the accuracy of the road wearing course damage detected by four different remote sensing methods.
References
More filters
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.