XXII ISPRS Congress 2012: Technical Commission VII

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Multivolume work

Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1663821976

Title:: Technical Commission VII

Scope:: 546 Seiten

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663821976

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B7)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [VII/3: INFORMATION EXTRACTION FROM HYPERSPECTRAL DATA]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: ANALYSIS OF CONCRETE REFLECTANCE CHARACTERISTICS USING SPECTROMETER AND VNIR HYPERSPECTRAL CAMERA Jin-Duk Lee, Bon A. Dewitt, Sung-Soon Lee, Kon-Joon Bhang, Jung-Bo Sim

Document type:: Multivolume work

Structure type:: Chapter

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.

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