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Application of Msplit method for filtering airborne laser scanning data sets to estimate digital terrain models

Abstract

ALS point cloud filtering involves the separation of observations representing the physical terrain surface from those representing terrain details. A digital terrain model (DTM) is created from a subset of points representing the ground surface. The accuracy of the generated DTM is influenced by several factors, including the survey method used, the accuracy of the source data, the applied DTM generation algorithm, and the survey conditions. This article proposes the use of a new estimation method in the filtering of point clouds obtained from airborne laser scanning (ALS), provisionally called Msplit-estimation. The application of Msplit-estimation in ALS data filtering requires the determination of the appropriate functional model for the surface, which will be used in the filtering of the set of points. A polynomial terrain surface model was selected for this purpose. Two methods of filtering using the Msplit method are presented. The first is based on the estimated parameters of the polynomial describing the surface (called the ‘quality’ approach in the article). The second method (provisionally called the ‘quantity’ method) is carried out in two stages. The first stage is point cloud filtering, which results in two subsets being created. One of these is the subset of points intended for DTM creation, while the other contains the remaining points. The second stage of the approach is the creation of a DTM from the first subset. Since the Msplit method has an analytical character, the ATIN method was selected to verify the correct operation of the method. The ATIN method is based on computational geometry and uses repeated Delaunay triangulation and statistical evaluation of the geometric parameters. Comparison of Msplit with a method based on different principles mitigates errors arising from similarly functioning methods belonging to the same group of filters. The choice of the ATIN method was also dictated by its established position among filtering algorithms. The method is well-known, documented, and verified and this ensures that filtering by this method provides a reliable result that can serve as a reference for comparison with the proposed new filtering method.

Citations

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    CrossRef

  • 2 4

    Web of Science

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    Scopus

Authors (4)

  • Photo of  Wioleta Blaszczak-Bak

    Wioleta Blaszczak-Bak

  • Photo of  Artur Janowski

    Artur Janowski

  • Photo of prof. dr hab. inż. Waldemar Kamiński

    Waldemar Kamiński prof. dr hab. inż.

  • Photo of  Jacek Rapiński

    Jacek Rapiński

Details

Category:
Articles
Type:
artykuły w czasopismach
Published in:
INTERNATIONAL JOURNAL OF REMOTE SENSING no. 36, pages 2421 - 2437,
ISSN: 0143-1161
Language:
English
Publication year:
2015
Bibliographic description:
Blaszczak-Bak W., Janowski A., Kamiński W., Rapiński J.: Application of Msplit method for filtering airborne laser scanning data sets to estimate digital terrain models// INTERNATIONAL JOURNAL OF REMOTE SENSING -Vol. 36,iss. 9 (2015), s.2421-2437
DOI:
Digital Object Identifier (open in new tab) 10.1080/01431161.2015.1041617
Verified by:
Gdańsk University of Technology

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