Abstract
An automatic and intelligent method for crack detection is significantly important, considering the popularity of large constructions. How to identify the cracks intelligently from massive point cloud data has become increasingly crucial. Terrestrial laser scanning is a measurement technique for three-dimensional information acquisition which can obtain coordinates and intensity values of the laser reflectivity of a dense point cloud quickly and accurately. In this article, we focus on the optimal parameter of Gaussian filtering to balance the efficiency of crack identification and the accuracy of crack analysis. The innovation of this article is that we propose a novel view of the signal-to-noise ratio gradient for Gaussian filtering to identify and extract the cracks automatically from the point cloud data of the terrestrial laser scanning measurement.
Highlights
A three-dimensional (3D) construction model could contribute to the construction of a powerful information system against the background of the big data era
The automatic feature extraction and modeling according to the measurement data will be increasingly essential in the field of structural health monitoring.[1]
Terrestrial laser scanning (TLS) is a promising technique for the quick acquisition of 3D spatial information of objects. It has significant advantages when compared with traditional measurement in structure monitoring due to the terrestrial laser scanning (TLS) measurement being area oriented rather than point oriented
Summary
A three-dimensional (3D) construction model could contribute to the construction of a powerful information system against the background of the big data era. The automatic feature extraction and modeling according to the measurement data will be increasingly essential in the field of structural health monitoring.[1]. Terrestrial laser scanning (TLS) is a promising technique for the quick acquisition of 3D spatial information of objects. It has significant advantages when compared with traditional measurement in structure monitoring due to the TLS measurement being area oriented rather than point oriented. The TLS-based measurement is even more flexible and convenient nowadays by means of kinematic measurement technologies and different moving equipment
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