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http://dx.doi.org/10.7319/kogsis.2016.24.3.075

Image Quality Assessment of Mobile-based Image Acquisition System for Disaster Scientific Investigation  

Kim, Mi Kyeong (Department of Civil and Environmental Engineering, Yonsei University)
Kim, Sang Pil (Department of Civil and Environmental Engineering, Yonsei University)
Kim, Nam Hoon (Department of Civil and Environmental Engineering, Yonsei University)
Song, Young Karb (Disaster Scientific Investigation Division, National Disaster Management Institute)
Sohn, Hong Gyoo (Department of Civil and Environmental Engineering, Yonsei University)
Publication Information
Journal of Korean Society for Geospatial Information Science / v.24, no.3, 2016 , pp. 75-83 More about this Journal
Abstract
There are various types of disasters now, and accordingly it is practically difficult to manage all types of disasters effectively. If we are able to reconstruct the disaster event and investigate the cause, it may be possible to prepare the recurrence of similar patterns of disasters. The vehicle-based system equipped with state-of-the-art sensors has been proposed in order to reconstruct the disaster site as much as possible and help the disaster investigator to analyze the cause of the disaster by providing high-quality information. However, the data quality obtained from the sensors can be lowered due to unpredictable circumstances of disaster site. In this aspect it is essential to provide practical procedures that assess and analyze the performance of the equipment on site. In this paper, we selected critical elements of performance that can evaluate the vehicle-based image acquisition system, since it is the most critical piece of information in the disaster sites. The quality of the images obtained from vehicle-based image system was analyzed and verified on the test site. From the results of spatial resolution based on GRD(Ground Resolved Distance), we were able to identify maximum 5mm of spatial resolution at a distance of 70m distance. The result of field test is expected to be used for data acquisition plan in future disaster situations.
Keywords
Disaster Scientific Investigation; Image Acquisition System; Quality Assessment; Spatial Resolution;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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1 Gusella, L., Adams, B. J. and Bitelli, G., 2007, Use of mobile mapping technology for post-disaster damage information collection and integration with remote sensing imagery, Proc. of 5th International Symposium on Mobile Mapping Technology, International Society of Photogrammetry, Remote Sensing and Spatial Information Sciences, Padua, Italy, Vol. 34. pp. 1-8.
2 Hellmuth, M. E., Mason, S., Vaughan, C., Aalst, M. and Choularton, R., 2011, A better climate for disaster risk management, International Research Institute for Climate and Society, Columbia University: New York, USA.
3 Honkavaara, E., Jaakkola, J., Markelin, L. and Becker, S., 2006, Evaluation of resolving power and MTF of DMC, Proc. of ISPRS, International Society of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 36, No. 6, pp. 17-22.
4 Hwang, H., Park, W. and Kwak, S., 2011, MTF assessment and image restoration technique for post-launch calibration of DubaiSat-1, Korean Journal of Remote Sensing, Vol. 27, No. 5, pp. 573-586.   DOI
5 Jacobson, R. E., Ray, S. F., Attridge, G. G. and Axford, N. R., 2000, The manual of photography, Oxford: Focal Press, UK.
6 Kim, J. I., Jeong, J. and Kim, T., 2010, Development of GRD measurement method using natural target in imagery, Korean Journal of Remote Sensing, Vol. 26, No. 5, pp. 527-536.   DOI
7 Leachtenauer, J. C. and Driggers, R. G., 2001, Surveillance and reconnaissance imaging systems: modeling and performance prediction, Artech House, Boston, USA.
8 Lee, J. S., Ko, S. J., Kang, S. S., Kim, J. H., Kim, D. H. and Kim, C., 2013a, Quantitative evaluation of image quality using automatic exposure control and sensitivity in the digital chest image, Journal of the Korea Contents Association, Vol. 13, No. 8, pp. 275-283.
9 Lee, M. R., Koo, S. and No, S. J., 2013b, Establishment and operation systems of the DSI (Disaster: Scientific Investigation) Center, National Disaster Management Institute.
10 Lee, M., Park, Y., Moon, S., Kim, K., Song, Y., Cho, S., Koo, S., Choi, M. and Seo, B., 2014, Development of operational strategy on scientific disaster investigation and its forensic technologies, National Disaster Management Institute.
11 Lee, T. Y., Lee, J. O. and Yun, B. Y., 2012, Verification of spatial resolution in DMC imagery using bar target, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 30, No. 5, pp. 485-492.   DOI
12 Nuutinen, M., Orenius, O., Saamanen, T. and Oittinen, P., 2012, A framework for measuring sharpness in natural images captured by digital cameras based on reference image and local areas, EURASIP Journal on Image and Video Processing, Vol. 2012, No. 1, pp. 1-15.   DOI
13 ODI and CDKN, 2014, The future framework for disaster risk reduction: a guide for decision-makers, second edition, Overseas Development Institute and Climate and Development Knowledge Network: London, UK.
14 Patra, S. K., Mishra, N., Chandrakanth, R. and Ramachandran, R., 2002, Image quality improvement through MTF compensation-a treatment to high resolution data, Indian Cartographer, Vol. 22, No. 15, pp. 88-93.
15 Shin J. M, Im, J. H., and Lee, S. R., 2003, Satellite image quality analysis using MTF modeling, Proc. of the Korean Society for Aeronautical and Space Sciences 2003, Korean Society For Aeronautical And Space Sciences, pp. 254-258.
16 Statistics Korea, 2016, Status of accidents, Statistics Korea, http://www.index.go.kr/potal/main/EachDtlPageDetail.do?idx_cd=1627
17 Thomson, G. H., 2009, A note on spatial resolution measurement and its implications for image radiometry, International Journal of Remote Sensing, Vol. 30, No. 1, pp. 1-8.   DOI
18 Che, G. S., Chang, W. S. and Oh, J., 2012, A study on the MTF of optical system with optical path difference, The Journal of Korea Navigation Institute, Vol. 16, No. 3, pp. 518-525.
19 Ariyasu, E., Koizumi, M., Ikubo, M. and Hatake, S., 2012, Application of mobile LIDAR mapping for damage survey after Great East Japan Earthquake, Proc. of ISPRS 2012, International Society of Photogrammetry, Remote Sensing and Spatial Information Sciences, Melbourne, Australia, Vol. 39, pp. 573-576.
20 Campbell, J. B., 2002, Introduction to remote sensing, third edition. Guilford Press, New York, N.Y.
21 Cho, Y. M., 2002, Characteristics of the image quality parameter in satellite imaging instrument, Aerospace Engineering and Technology, Vol 1, No. 2, pp. 66-74.
22 Earl, F. G., 1998, USAF 1951 and microcopy resolution test charts and pixel profiles, efg's computer lab, http://www.efg2.com/Lab/ImageProcessing/TestTargets/
23 Estribeau, M. and Magnan, P., 2004, Fast MTF measurement of CMOS imagers using ISO 12333 slanted-edge methodology, Proc. of SPIE, Detectors and Associated Signal Processing, St. Etienne, France, Vol. 5251, pp. 243-252.
24 Gong, J. and Maher, A., 2014, Use of mobile lidar data to assess hurricane damage and visualize community vulnerability, Transportation Research Record: Journal of the Transportation Research Board, Vol. 2459, pp. 119-126.   DOI
25 Gopal, A. and Samant, S. S., 2003, Bar-pattern technique for modulation transfer function measurement in portal imaging, Proc. of SPIE, Medical Imaging, Vol. 5030, pp. 433-444.
26 Walker, J. D., 2014, Fundamentals of physics / Halliday & Resnick, extended edition, Wiley, New York, USA.
27 UNISDR, 2016a, A background paper on: strengthening the role of science and technology for disaster risk reduction in the Arab Region, UN office for disaster risk reduction, http://www.unisdr.org/files/45951_sciencetechnologyfordrr.pdf
28 UNISDR, 2016b, Sendai framework for disaster risk reduction 2015-2030, UN office for disaster risk reduction, http://www.unisdr.org/files/43291_sendaiframeworkfordrren.pdf
29 United Nations, 2016, Global sustainable development report 2016, United Nations, https://sustainabledevelopment.un.org/content/documents/2328GSDR%202016.pdf
30 Woo, J. E., Lee, Y. G., Bae, S. H. and Kim, Y. G., 2012, An evaluation method of X-ray imaging system resolution for non-engineers, Korean Society of Radiological Science, Vol. 35, No. 4, pp. 309-314.