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Aerial thermography from low-cost UAV for the generation of thermographic digital terrain models

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Konferencja
Advanced Infrared Technology and Applications - AITA 2013 (12 ; 10-13.09.2013 ; Turin, Italy)
Języki publikacji
EN
Abstrakty
EN
Aerial thermography is performed from a low-cost aerial vehicle, copter type, for the acquisition of data of medium-size areas, such as neighbourhoods, districts or small villages. Thermographic images are registered in a mosaic subsequently used for the generation of a thermographic digital terrain model (DTM). The thermographic DTM can be used with several purposes, from classification of land uses according to their thermal response to the evaluation of the building prints as a function of their energy performance, land and water management. In the particular case of buildings, apart from their individual evaluation and roof inspection, the availability of thermographic information on a DTM allows for the spatial contextualization of the buildings themselves and the general study of the surrounding area for the detection of global effects such as heat islands.
Twórcy
autor
  • Applied Geotechnologies Research Group, University of Vigo, Lab 22, ETSE Minas, Campus Universitario LagoasMarcosende, 36310 Vigo, Pontevedra, Spain
  • Applied Geotechnologies Research Group, University of Vigo, Lab 22, ETSE Minas, Campus Universitario LagoasMarcosende, 36310 Vigo, Pontevedra, Spain
autor
  • Applied Geotechnologies Research Group, University of Vigo, Lab 22, ETSE Minas, Campus Universitario LagoasMarcosende, 36310 Vigo, Pontevedra, Spain
autor
  • Applied Geotechnologies Research Group, University of Vigo, Lab 22, ETSE Minas, Campus Universitario LagoasMarcosende, 36310 Vigo, Pontevedra, Spain
Bibliografia
  • 1. T. Taylor, J. Counsell, and S. Gill, "Energy efficiency is more than skin deep: Improving construction quality control in new-build housing using thermography”, Energ. Buildings 66, 222-231 (2013).
  • 2. F. Asdrubali, G. Baldinelli, and F. Bianchi, “A quantitative methodology to evaluate thermal bridges in buildings”, Appl. Energ. 97, 365-373, 2012.
  • 3. E. Grinzato, N. Ludwig, G. Cadelano, M. Bertucci, M. Gargano, and P. Bison, “Infrared thermography for moisture detection: a laboratory study and in-situ test”, Mater. Eval. 69, 97-104(2011).
  • 4. S. Chudzik, “Thermal diffusivity measurement of insulating material using infrared thermography”, Opto-Electron. Rev. 20, 40-46 2012.
  • 5. P. Bison and E. Grinzato, “IR thermography applied to the assessment of thermal conductivity of building materials”, in 32th Thermosense, Orlando, 2010.
  • 6. P. Fokaides and S. Kalogirou, “Application of infrared thermography for the determination of the overall heat transfer coefficient (U-value) in building envelopes”, Appl. Energ. 88, 4358-4365 (2011).
  • 7. A. Bortolin, G. Cadelano, G. Ferrarini, and P. Bison, “Thermal performance measurement of the building envelope by infrared thermography”, AITA Conference, Torino, 2013.
  • 8 S. Lagüela, L. Diaz-Vilarino, J. Martinez, and J. Armesto, “Automatic thermographic and RGB texture of as-built BIM for energy rehabilitation purposes”, Automat. Constr. 31, 230-240 (2013).
  • 9. Y. Ham and M. Golparvar-Fard, “EPAR: Energy Performance Augmented Reality models for identification of building energy performance deviations between actual measurements and simulation results”, Energ. Buildings 63, 15-28 (2013).
  • 10. M. Scaioni, E. Rosina, L. Barazzctti, M. Previtali, and V. Redaelli, “High-resolution texturing of building faęades with thermal images”, in 34th Thermosense, Baltimore, 2012.
  • 11. L. Hoegner and U. Stilla, “Automatic generation of façade textures from terrestrial thermal infrared image sequences”, QIRT, Bordeaux, 2014.
  • 12. F. Agiiera, F. Aguilar, and M. Aguilar, “Using texture analysis to improve per-pixel classification of very high resolution images for mapping plastic greenhouses”, ISPKS J. Photogrammetry and Remote Sensing 63, 635-646 (2008).
  • 13. J.E. Nichol and P. Hang To, “Temporal characteristics of thermal satellite images for urban heat stress and heat island mapping”, ISPRS J. Photogrammetry and Remote Sensing 74, 153-162 (2012).
  • 14. N. Haala, M. Cramer, F. Weimer, and M. Trittler, “Performance test on UAV based photogrammetric data collection”, I APRS 38 (1/C22) 7-12 (2011).
  • 15. F. Neitzel and J. Klonowski, "Mobile 3D mapping with a low-cost UAV system”, IAPRS 38 (1/C22), 39-44 (2011).
  • 16. M. Previtali, L. Barazzetti, and R. Brumana, “Thermographic analysis from UAV platforms for energy efficiency retrofit applications”, J. Mobile Multimedia 9, 66-82 (2013).
  • 17. H. Xiang and L. Tian, “Development of a low-cost agricultural remote sensing system based on an autonomous unmanned aerial vehicle (UAV)”, Biosyst. Eng. 108, 174-190 (2011).
  • 18. M. Aguilar, F. Bianconi, F. Aguilar, and 1. Fernandez, “Object-based greenhouse classification from GeoEye-1 and World-View-2 stereo imagery”, Remote Sensing 6, 3554-3582 (2014).
  • 19. Wiki Mikrokopter: mikrokopter.de. Last access: 04/04/2013.
  • 20. D. Roca, S. Lagiiela, L. Dfaz-Vilarino, J. Armesto, and P. Arias, “Low-cost aerial unit for outdoor inspection of building faęades”, Automat. Constr. 36, 128-135 (2013).
  • 21. S. Lagiiela, H. Gonzalez-Jorge, J. Armesto, and J. Herraez, “High performance grid for the metric calibration of thermographic cameras”, Measurement Science and Technology 23, 9 (2012).
  • 22. E. Coll, J. Martinez, and J. Herraez, “The determination matrix size for videogrammetry correlation”, Conf. Advances in Signal Processing, Robotics and Communications, pp. 56-59, Malta, 2001.
  • 23. S. Lagiiela, J. Armesto, P. Arias, and J. Herraez, “Automation of thermographic 3D modelling through image fusion and image matching techniques”, Automat. Constr. 27, 24-31 (2012).
  • 24. CIE, Colorimetry, CIE Publication 15.2, 2nd Ed, pp. 19-20, 56-58, Vienna, 1986.
  • 25. Instituto Geografieo Nacional. Centro Nacional de Información Geografica: www.ign.es. Last access: 09/07/2014.
Uwagi
EN
Authors would like to give thanks to the Conselleria de Economxa e Industria (Xunta de Galicia), Ministerio de Econorma y Competitividad and CDTI (Gobiemo de Espana) for the financial support given through human resources grants (FPDI-2013-17516, FPU AP2010-2969), and projects (IPT2012-1092-120000, ITC-20133033, ENE2013-48015-C3-1-R). All the programs are co-financed by the Fondo Europeo para el Desarrollo Regional (FEDER).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d5d0484e-2547-439d-b26d-4fda4b884e4b
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