Abstract
Terrestrial laser scanner (TLS) measurements can be used to assess the technical condition of buildings and structures; in particular, high-resolution TLS measurements should be taken in order to detect defects in building walls. This consequently results in the creation of a huge amount of data in a very short time. Despite high-resolution measurements typically being needed in certain areas of interest, e.g., to detect cracks, reducing redundant information on regions of low interest is of fundamental importance in order to enable computationally efficient and effective analysis of the dataset. In this work, data reduction is made by using the Optimum Dataset (OptD) method, which allows to significantly reduce the amount of data while preserving the geometrical information of the region of interest. As a result, more points are retained on areas corresponding to cracks and cavities than on flat and homogeneous surfaces. This approach allows for a thorough analysis of the surface discontinuity in building walls. In this investigation, the TLS dataset was acquired by means of the time-of-flight scanners Riegl VZ-400i and Leica ScanStation C10. The results obtained by reducing the TLS dataset by means of OptD show that this method is a viable solution for data reduction in building and structure diagnostics, thus enabling the implementation of computationally more efficient diagnostic strategies.
Highlights
Terrestrial laser scanning (TLS), called high-definition surveying (HDS), is a simple method for high-accuracy mapping of real objects
This paper investigates the potential of the Optimum Dataset (OptD) method to optimise point clouds for building and structure diagnostics, and presents the obtained results on scans of a historical building
To conclude, according to the analysis conducted in this work, the OptD method can be effectively used for point cloud down-sampling in the context of identifying building defects
Summary
Terrestrial laser scanning (TLS), called high-definition surveying (HDS), is a simple method for high-accuracy mapping of real objects. The use of a proper remote sensing documentation technique is of fundamental importance in order to obtain 3D models of cultural heritage sites with high accuracy and details, but reducing the risk of damages. To this aim, the TLS technology can be conveniently carried out. The need of detecting minor defects on the surfaces of walls imposes the acquisition of TLS measurements at very high resolutions This often leads to very large datasets, which are difficult to be efficiently analysed. This paper investigates the potential of the OptD method to optimise point clouds for building and structure diagnostics, and presents the obtained results on scans of a historical building
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