MULTISPECTRAL IMAGING IN CULTURAL HERITAGE CONSERVATION
- 1Dept. of Cartographic and Land Engineering, Higher Polytechnic School of Ávila, University of Salamanca, Ávila, 05003, Spain
- 2Dept. of Mining Technology, Topography and Structures, University of León, Avda. Astorga, s/n, Ponferrada, León, 24401, Spain
- 3Institute for Regional Development (IDR), Albacete, University of Castilla La Mancha, Ciudad Real13003, Spain
Keywords: Remote Sensing, Close-Range, Cultural Heritage, Camera, Multispectral, Laser Scanning, Classification
Abstract. This paper sums up the main contribution derived from the thesis entitled "Multispectral imaging for the analysis of materials and pathologies in civil engineering, constructions and natural spaces" awarded by CIPA-ICOMOS for its connection with the preservation of Cultural Heritage. This thesis is framed within close-range remote sensing approaches by the fusion of sensors operating in the optical domain (visible to shortwave infrared spectrum). In the field of heritage preservation, multispectral imaging is a suitable technique due to its non-destructive nature and its versatility. It combines imaging and spectroscopy to analyse materials and land covers and enables the use of a variety of different geomatic sensors for this purpose. These sensors collect both spatial and spectral information for a given scenario and a specific spectral range, so that, their smaller storage units save the spectral properties of the radiation reflected by the surface of interest. The main goal of this research work is to characterise different construction materials as well as the main pathologies of Cultural Heritage elements by combining active and passive sensors recording data in different ranges. Conclusions about the suitability of each type of sensor and spectral range are drawn in relation to each particular case study and damage. It should be emphasised that results are not limited to images, since 3D intensity data from laser scanners can be integrated with 2D data from passive sensors obtaining high quality products due to the added value that metric brings to multispectral images.