Damage Detection on Historical Buildings Using Unsupervised Classification Techniques
نویسندگان
چکیده
This paper describes a methodology for the documentation and analysis of historical buildings. Techniques of digital image processing give the possibility to detect damages, such as moisture or biological changes, on surfaces of monuments. Intensity data obtained from laser scanner equipment and colour information gathered with a digital camera were evaluated for damage identification that affects the materials used in several historical buildings, such as granitic rock. Then, digital image processing was used to identify damages over granitic rock in a nondestructive way; in particular, classification methods were applied. Several unsupervised classification algorithms were analyzed. The output data were classified images showing the different kind of damages that affect the granitic rock. Post-analysis of these data allow obtaining thematic maps with the size and position of damages. The data and first results that were obtained to date are described below. * Corresponding author: Tel.: +34 986 813423; E-mail address: [email protected] (J. Armesto).
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