Volume XLII-3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 915-921, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-915-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 915-921, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-915-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  30 Apr 2018

30 Apr 2018

DAMAGE DETECTION FOR HISTORICAL ARCHITECTURES BASED ON TLS INTENSITY DATA

Q. Li1,2 and X. Cheng1 Q. Li and X. Cheng
  • 1College of Surveying and Geo-informatics, Tongji University, Shanghai 200092, China
  • 2Beijing Key Laboratory of Urban Spatial Information Engineering, Beijing 100038, China

Keywords: Terrestrial Laser Scanning, Intensity, Correction, Damage detection, Classification

Abstract. TLS (Terrestrial Laser Scanner) has long been preferred in the cultural heritage field for 3D documentation of historical sites thanks to its ability to acquire the geometric information without any physical contact. Besides the geometric information, most TLS systems also record the intensity information, which is considered as an important measurement of the spectral property of the scanned surface. Recent studies have shown the potential of using intensity for damage detection. However, the original intensity is affected by scanning geometry such as range and incidence angle and other factors, thus making the results less accurate. Therefore, in this paper, we present a method to detect certain damage areas using the corrected intensity data. Firstly, two data-driven models have been developed to correct the range and incidence angle effect. Then the corrected intensity is used to generate 2D intensity images for classification. After the damage areas being detected, they are re-projected to the 3D point cloud for better visual representation and further investigation. The experiment results indicate the feasibility and validity of the corrected intensity for damage detection.