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M-Split Estimation in Laser Scanning Data Modeling

Abstract

This paper proposes a new approach to 3D modeling on the basis of laser scanner data. It presents the attempt to automatically detect two planes and an edge in one processing algorithm. The algorithm is based on the M split estimation, which is a recently developed regression method of multi functional models. Plane equations in three dimensional space are derived on the basis of the presented method. M split estimation divides the functional model of least squares adjustment in particular into two groups. Both simulated and real data from airborne laser scanning is tested to present the results. In each case the mehod gave good results which encourages for further work on the application of this method for 3D modeling.

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Correspondence to Jacek Rapinski.

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Janowski, A., Rapinski, J. M-Split Estimation in Laser Scanning Data Modeling. J Indian Soc Remote Sens 41, 15–19 (2013). https://doi.org/10.1007/s12524-012-0213-8

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Keywords

  • ALS
  • Point cloud
  • Robust estimation
  • Edge detection