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Use of Terrestrial Hyperspectral Sensors for Analyzing Spectral Reflectance Characteristics of Concrete
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 Title & Authors
Use of Terrestrial Hyperspectral Sensors for Analyzing Spectral Reflectance Characteristics of Concrete
Lee, Jin Duk; Lee, Sung Soon; Sim, Jung Bo;
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The purpose of this research is to extract spectral reflectance characteristics of concretes through basic experiment on concrete specimens and site experiment on actual concrete structures using a field portable spectrometer and a VNIR hyperspectral sensor. A spectrometer (GER-3700) and a VNIR hyperspectral camera (AisaEagle VNIR Hyperspectral Camera) were utilized for extracting spectral characteristics of concrete specimens. Concretes normally show similar patterns that have correlation above 80%, while the high-strengthened concretes display very different results from the normal-strength concretes. We also made a certain conclusion in the laboratory experiment on concrete specimens that both the spectrometer and the VNIR camera vary in spectral reflectance depending on concrete strengths.
Hyperspectral Images;Spectrometer;VNIR Hyperspectral Camera;Spectral Reflectance;Concrete;
 Cited by
Arita, J., Sasaki, K.-I., Endo, T., and Yasuoka, Y. (2001), Assessment of concrete degradation with hyper-spectral remote sensing, The 22nd Asian Conference on Remote Sensing, 5-9 November, Singapore.

Baldridge, A.M., Hook, S.J., and Grove, C.I. (2009), The ASTER spectral library version 2.0, Remote Sensing of Environment, Vol. 113, pp. 711-715. crossref(new window)

Ben-Dor, E., Patin, K., Banin, A., and Karnieli, A. (2001), Mapping of several soil properties using DAIS-7915 hyperspectral scanner data - a case study over clayey soils in Israel, International Journal of Remote Sensing, Vol. 23, No. 6, pp. 1043-1062.

Brook, A. and Ben-Dor, E. (2011), Reflectance spectroscopy as a tool to assess the quality of concrete in situ, Journal of Civil Engineering and Construction Technology, Vol. 2, No. 8, pp. 169-188.

Clark, R. N. and Swayze, G. A. (1995), Mapping minerals, amorphous materials, environmental materials, vegetation, water, ice, and snow, and other materials: The USGS Tricorder Algorithm, In Summaries of the Fifth Annual JPL Airborne Earth Science Workshop, JPL Publication 95-1, Vol. 1, pp. 39-40.

Randall, B.S. (2012), Introduction to hyperspectral imaging,, 24 pages. (last date accessed: Jan. 2013)

Shaban, A. (2013), Determination of concrete properties using hyperspectral imaging technology: a review, Science Journal of Civil Engineering & Architecture, Vol. 2013, Article ID sjcea-102,, 11 pages. (last date accessed: Dec. 2013)

Shippert, P. (2003), Introduction to hyperspectral image analysis, Online Journal of Space Communication, (last date accessed: Jan. 2012)

Yavari, A.A., Hamedi, M., and Haghbin, S. (2010), Investigation of frying oil quality using VIS/NIR hyperspectral analysis, Journal of the American Oil Chemists' Society, Vol. 86, No. 10, pp. 941-947.