Figure 11. Photography using VNIR camera
on Daejongchun Bridge
We also made certain in not only interior experiment on
concrete specimens but also site experiment on actual concrete
structures that both a spectrometer and a VNIR camera show
the difference in spectral characteristics according to concrete
strength. But two types of sensors showed some difference in
spectral reflectance in spite of the same target.
: WTAE SE
i me Apr pi EE
Blas ang
^ Sgn NR
is PA. s, Daejongcheon
assente e P a AR sR, wn
T bridge GER-3700
_… Yangbook bridge
em GER-3700
Daejongcheon
bridge VNIR
"a soe
Reflectance
7 Yangbook bndge
GER-3700
‘Wavelength(nm)
Figure 12. Reflectance spectra of two concrete structures
measured by GER-3700 and VNIR camera
4. CONCLUSION
Through interior experiment on specimens and site experiment
on actual structures, spectral characteristics of concretes were
analyzed in accordiance to concrete strength using two types of
terrestrial hyperspectral sensors.
Field portable spectrometer data as well as VNIR hyperspectral
images are very useful as reference data in analyzing for
maintenance of concrete-based structures, buildings, highways
using airborne or satellite hyperspectral images. In addition,
hyperspectral data for a variety of concrete objects need to be
saved in the form of spectral library for rapid and appropriate
decision-making related to maintenance of concrete structures
or facilities.
Afterwards if the studies on hyperspectral characteristics of
worn-out concretes, concrete aggregate condition diversity,
super high-strength concretes are performed in depth, it is
helpful in stability evaluation and maintenance of concrete-
based structures or facilities using airborne or satellite
hyperspectral images for an wide area.
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia
ACKNOWLEDGEMENTS
This research was supported by Basic Science Research
Program through the National Research Foundation of
Korea(NRF) funded by the Ministry of Education, Science and
Technology( grant number : 2012006866).
REFERENCES
1. Alireza Ashkmehr Yavari, M. Hamedi and S. Haghbin, 2010.
Investigation of frying oil quality using VIS/NIR hyperspectral
Analysis, Journal of the American Oil Chemists’ Society,
86(10), pp. 941-947.
2. 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.
3. 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.
4. Cudahy, T.J., Huntington, T.F., Quigley, M.A. and Barry,
P.S., 2001. The performance of the satellite-borne HYPERION
hyperspectral VNIR-SWIR imaging system of mineral mapping
at mount Fitton, South Australia., IGARRS.
5. Fung, T., Ma, F.Y. and Siu, W.L.,1998. Hyperspectral data
analysis for subtropical tree species recognition, Geoscience
and Remote Sensing Symposium Proceedings, IGARSS '98.
IEEE International, Vol.3, pp.1298-1300.
6. Hyun Gee Jo, Dae Sung Kim, Ki Yun Yu, Yong Il Kim, 2006.
A study on the hyperspectral image classification with the
iterative — self-organizing unsupervised spectral angle
classification, Korean Journal of Remote Sensing, 22(2), pp.
111-121.
7. Peg Shippert, 2003. Introduction to hyperspectral image
analysis, Online Journal of Space Communication,
http://spacejournal.ohio.edu/pdf/shippert.pdf. (Jan. 2012).
8. Sun-Hwa Kim, Kyu-Sung Lee, Jung-Rim Ma, Min-Jung
Kook, 2005. Current status of hyperspectral remote sensing:
Principle, Data Processing Techniques and Application, Korean
Journal of Remote Sensing, 21(4), pp. 341-369.
9. Anna Brook and Eyal Ben-Dor, 2011. Reflectance
spectroscopy as a tool to assess the quality of concrete in situ,
Journal of Civil Engineering and Construction Technology,
2(8), pp. 169-188.
