Abstract
Retrofitting existing buildings is a key aspect for reaching the proposed energy consumption reduction targets in all countries. The availability of as-built building model is of primary importance for both thermal lack diagnosis and planning retrofitting works. In particular, integration between Building Information Models (BIMs) and Infrared Thermography (IRT) can be a powerful tool for evaluating building thermal efficiency. Indeed, thermography can be efficiently used to detect thermal bridges and heat losses. However, thermographic images does not allow geometrical measurements whereas precise localization of thermal defects is a main aspect for retrofitting intervention planning. For this reason building models can be efficiently integrated with thermal images and provide metric information to thermographic analysis. In this paper a methodology for combining thermographies, acquired by different platforms, and building models automatically derived from laser scanning technology is presented.
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References
Beraldin, J.-A.: Integration of laser scanning and close-range photogrammetry: the last decade and beyond. In: International Archives of Photogrammetry and Remote Sensing, XXth ISPRSCongress. ISPRS, Istanbul (2004)
Grubisic, I., Gjenero, L., Lipic, T., Sovic, I., Skala, T.: Active 3D scanning based 3D thermography system and medical applications. In: MIPRO, 2011 Proceedings of the 34th International Convention IEEE, 269 p (2011)
Brumana, R., Oreni, D., Cuca, B., Binda, L., Condoleo, P., Triggiani, M.: Strategy for integrated surveying techniques finalized to interpretive models in a byzantine church. International Journal of Architectural Heritage (2013), doi:10.1080/15583058.2011.605202
Klingert, M.: The usage of image processing methods for interpretation of thermography data. In: 17th International Conference on the Applications of Computer Science and Mathematics in Architecture and Civil Engineering, Weimar, Germany, July 12-14 (2006)
Lo, Y.T., Choi, K.T.W.: Building Defects Diagnosis by Infrared Thermography. Struct. Survey 22(5), 259–263 (2004)
Zhukov, B., Lorenz, E., Oertal, D., Wooster, M.J., Roberts, G.: Spaceborne detection and characterization of fires during the bi-spectral infrared detection (BIRD) experimental small satellite mission (2001–2004). Remote Sensing of Environment 100, 29–51 (2006), doi:10.1016/J.RSE.2005.09.019
Kerr, J.T., Ostrovsky, M.: From space to species: Ecological applications for remote sensing. Trends in Ecology & Evolution 18(6), 299–305 (2003)
Lo, C.P., Quattrochi, D.A.: Land-Use and Land-Cover Change, Urban Heat Island Phenomenon, and Health Implications: A Remote Sensing Approach. Photogrammetric Engineering & Remote Sensing 69(9), 1053–1063 (2003)
Hinz, S., Stilla, U.: Car detection in aerial thermal images by local and global evidence accumulation. Pattern Recognition Letter 27, 308–315 (2006)
Gaszczak, A., Breckon, T.P., Han, W.J.: Real-time people and vehicle detection from UAV imagery. In: Proc. SPIE Conference Intelligent Robots and Computer Vision XXVIII: Algorithms and Techniques, vol. 7878 (2011), doi:10.1117/12.876663
Dios, M.-D., Ollero, A.: Automatic detection of windows thermal heat losses in buildings using UAVs. In: World Automation Congress, WAC 2006, 6 p. IEEE (2006)
Oreni, D., Cuca, B., Brumana, R.: Three dimensional virtual models for better comprehension of architectural heritage construction techniques and its maintenance over time. In: Ioannides, M., Fritsch, D., Leissner, J., Davies, R., Remondino, F., Caffo, R. (eds.) EuroMed 2012. LNCS, vol. 7616, pp. 533–542. Springer, Heidelberg (2012)
Oreni, D., Brumana, R., Cuca, B.: Towards a Methodology for 3D Content Models. The Reconstruction of Ancient Vaults for Maintenance and Structural Behaviour in the logic of BIM management. In: Guidi, G., Addison, A.C. (eds.) Virtual Systems in the Information Society, pp. 475–482. IEEE, NJ (2012)
Brown, D.: Close-range camera calibration. Photogrammetric Engineering and Remote Sensing 37(8), 855–866 (1971)
Remondino, F., Fraser, C.: Digital camera calibration methods: considerations and comparisons. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences 36(5), 266–272 (2006)
Scaioni, M., Rosina, E., Barazzetti, L., Previtali, M., Redaelli, V.: High-resolution texturing of building facades with thermal images. In: Proc. of SPIE Defence, Security and Sensing, Baltimore, USA, vol. 8354, pp. 23–27 (April 2012)
Previtali, M., Barazzetti, L., Brumana, R., Cuca, B., Oreni, D., Roncoroni, F., Scaioni, M.: Automatic façade segmentation for thermal retrofit. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 3D-ARCH 2013 - 3D Virtual Reconstruction and Visualization of Complex Architectures, Trento, Italy, February 25-26, vol. XL-5/W1 (2013)
Previtali, M., Scaioni, M., Barazzetti, L., Brumana, R., Oreni, D.: An algorithm for occlusion-free texture mapping from oriented images. In: SECETEC, Venice, Italy, March 28-29, 10 pages (2012)
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Previtali, M., Barazzetti, L., Roncoroni, F. (2013). Spatial Data Management for Energy Efficient Envelope Retrofitting. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2013. ICCSA 2013. Lecture Notes in Computer Science, vol 7971. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39637-3_48
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DOI: https://doi.org/10.1007/978-3-642-39637-3_48
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