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Remote Sens. 2016, 8(1), 80; doi:10.3390/rs8010080

Multispectral Radiometric Analysis of Façades to Detect Pathologies from Active and Passive Remote Sensing

1
Department of Cartographic and Land Engineering, University of Salamanca, Hornos Caleros, 05003 Ávila, Spain
2
Institute for Regional Development (IDR), Albacete, University of Castilla La Mancha, 02071 Albacete, Spain
*
Author to whom correspondence should be addressed.
Academic Editors: Fabio Remondino, Norman Kerle and Prasad S. Thenkabail
Received: 18 September 2015 / Revised: 11 January 2016 / Accepted: 18 January 2016 / Published: 21 January 2016
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Abstract

This paper presents a radiometric study to recognize pathologies in façades of historical buildings by using two different remote sensing technologies covering part of the visible and very near infrared spectrum (530–905 nm). Building materials deteriorate over the years due to different extrinsic and intrinsic agents, so assessing these affections in a non-invasive way is crucial to help preserve them since in many cases they are valuable and some have been declared monuments of cultural interest. For the investigation, passive and active remote acquisition systems were applied operating at different wavelengths. A 6-band Mini-MCA multispectral camera (530–801 nm) and a FARO Focus3D terrestrial laser scanner (905 nm) were used with the dual purpose of detecting different materials and damages on building façades as well as determining which acquisition system and spectral range is more suitable for this kind of studies. The laser scan points were used as base to create orthoimages, the input of the two different classification processes performed. The set of all orthoimages from both sensors was classified under supervision. Furthermore, orthoimages from each individual sensor were automatically classified to compare results from each sensor with the reference supervised classification. Higher overall accuracy with the FARO Focus3D, 74.39%, was obtained with respect to the Mini MCA6, 66.04%. Finally, after applying the radiometric calibration, a minimum improvement of 24% in the image classification results was obtained in terms of overall accuracy. View Full-Text
Keywords: cultural heritage; multispectral camera; laser scanning; radiometric calibration; remote sensing; close range photogrammetry; multispectral classification cultural heritage; multispectral camera; laser scanning; radiometric calibration; remote sensing; close range photogrammetry; multispectral classification
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Del Pozo, S.; Herrero-Pascual, J.; Felipe-García, B.; Hernández-López, D.; Rodríguez-Gonzálvez, P.; González-Aguilera, D. Multispectral Radiometric Analysis of Façades to Detect Pathologies from Active and Passive Remote Sensing. Remote Sens. 2016, 8, 80.

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