The work presented in this paper shows the initial phases of the
establishment of a methodology to detect damages that affect
building materials of the historical buildings located in the urban
centre. This methodology combines the use of terrestrial laser
scanning with unsupervised classification methods. Then, this
methodology enables the use of the intensity data from terrestrial
laser scanning. A complete description of the work carried out at
a selected building, Ruins of Santo Domingo, is presented, and it
includes the acquisition of information, the generation of 2D
images from 3D information of the point cloud, the application of
several unsupervised classification algorithms and the assessment
of final results. The methodology was tested with 2D intensity
images from three equipments with different wavelengths and
technical specifications. The best results for the classification of the
two conservation problems affecting affecting the granitic rocks on
this historical building were obtained for the Fuzzy k means algorithm, for any equipment used. Results show the different radiometric responses of the ashlars with different moisture contents,
which is of great importance because the moisture content is
correlated with the damages that the ashlars can present. Therefore, our methodology will be a necessary tool to assess the state of
conservation of materials on historical buildings through the
obtaining of a thematic map of damages affecting building materials and by this way; it will be possible to suggest the appropriate
actions for their restoration and conservation
The work presented in this paper shows the initial phases of theestablishment of a methodology to detect damages that affectbuilding materials of the historical buildings located in the urbancentre. This methodology combines the use of terrestrial laserscanning with unsupervised classification methods. Then, thismethodology enables the use of the intensity data from terrestriallaser scanning. A complete description of the work carried out ata selected building, Ruins of Santo Domingo, is presented, and itincludes the acquisition of information, the generation of 2Dimages from 3D information of the point cloud, the application ofseveral unsupervised classification algorithms and the assessmentof final results. The methodology was tested with 2D intensityimages from three equipments with different wavelengths andtechnical specifications. The best results for the classification of thetwo conservation problems affecting affecting the granitic rocks onthis historical building were obtained for the Fuzzy k means algorithm, for any equipment used. Results show the different radiometric responses of the ashlars with different moisture contents,which is of great importance because the moisture content iscorrelated with the damages that the ashlars can present. Therefore, our methodology will be a necessary tool to assess the state ofconservation of materials on historical buildings through theobtaining of a thematic map of damages affecting building materials and by this way; it will be possible to suggest the appropriateactions for their restoration and conservation
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