재난원인과학조사를 위한 차량기반 영상취득시스템의 영상품질평가

국문 초록 (Abstract)

재난은 다양한 형태로 발생하고 있으며, 모든 유형의 재난을 효과적으로 대비하는 것은 현실적으로 어렵다. 그러나 기 발생재난을 재구성하고 그 원인을 면밀히 분석한다면 유사 재난의 재발 방지가 가능할 것이다. 이에 재난현장을 재구성하고 재난 발생의 원인을 과학적으로 규명하기 위해 고품질 데이터 취득 장비를 탑재한 차량기반 시스템을 구축하고 있다. 해당 시스템이 취득하는 데이터는 재난 현장에서 예측하지 못한 변수로 인해 그 품질이 저하될 수 있으므로, 이론적인 시스템의 성능 이외에도 실제 취득된 데이터의 품질을 평가하는 과정이 필요하다. 이에 본 논문에서는 재난 현장의 정밀한 고품질 데이터를 취득하기 위해 구축된 차량 기반 영상취득시스템의 성능을 평가할 수 있는 요소를 선정하고, 데이터를 취득하여 영상의 품질을 검증 및 분석하였다. GRD(Ground Resolved Distance)에 근거한 공간해상력을 중심으로 영상취득시스템의 성능을 평가한 결과, 70m에서 최대 약 5㎜의 공간해상력을 갖는 것을 확인하였으며 이러한 성능 평가의 결과는 향후 재난 현장 자료 취득 계획 시 사용될 수 있을 것으로 기대한다.

다국어 초록 (Multilingual 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 5㎜ 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.

목차 (Table of Contents)

• 要旨
• Abstract
• 1. 서론
• 2. MFOS 영상취득시스템
• 3. 영상품질 평가항목
• 4. 실험 및 결과 분석
• 5. 결론
• References

참고문헌 (Reference)

1 김재인, "영상 내 자연표적을 이용한 GRD 측정기법 개발" 대한원격탐사학회 26 (26): 527-536, 2010

2 우정은, "비공학도를 위한 X-ray 영상촬영 시스템 해상력 평가 방법" 대한방사선과학회 35 (35): 309-314, 2012

3 이진수, "디지털 흉부영상에서 자동노출제어 및 감도변화를 이용한 영상품질의 정량적인 평가" 한국콘텐츠학회 13 (13): 275-283, 2013

4 최규식, "광경로차가 있는 광학기기의 변조전달함수에 관한 연구" 한국항행학회 16 (16): 518-525, 2012

5 Walker, J. D, "undamentals of physics / Halliday & Resnick" Wiley 2014

6 Gusella, L, "Use of mobile mapping technology for post-disaster damage information collection and integration with remote sensing imagery" 34 : 1-8, 2007

7 Gong, J, "Use of mobile lidar data to assess hurricane damage and visualize community vulnerability" 2459 : 119-126, 2014

8 Earl, F. G, "USAF 1951 and microcopy resolution test charts and pixel profiles" efg’s computer lab

9 Jacobson, R. E, "The manual of photography" Focal Press 2000

10 ODI and CDKN, "The future framework for disaster risk reduction: a guide for decision-makers, second edition"

11 Leachtenauer, J. C, "Surveillance and reconnaissance imaging systems: modeling and performance prediction" Artech House 2001

12 Statistics Korea, "Status of accidents" Statistics Korea

13 UNISDR, "Sendai framework for disaster risk reduction 2015-2030" UN office for disaster risk reduction

14 Shin J. M, "Satellite image quality analysis using MTF modeling" Korean Society For Aeronautical And Space Sciences 254-258, 2003

15 Campbell, J. B, "Introduction to remote sensing" Guilford Press 2002

16 Patra, S. K, "Image quality improvement through MTF compensation-a treatment to high resolution data" 22 (22): 88-93, 2002

17 United Nations, "Global sustainable development report 2016" United Nations

18 Estribeau, M, "Fast MTF measurement of CMOS imagers using ISO 12333 slanted-edge methodology" 5251 : 243-252, 2004

19 Honkavaara, E, "Evaluation of resolving power and MTF of DMC" 36 (36): 17-22, 2006

20 Lee, M. R, "Establishment and operation systems of the DSI (Disaster: Scientific Investigation) Center"

21 황현덕, "DubaiSat-1의 발사 후 검보정을 위한 MTF 평가 및 영상복원 기법" 대한원격탐사학회 27 (27): 573-586, 2011

22 Lee, M, "Development of operational strategy on scientific disaster investigation and its forensic technologies" National Disaster Management Institute 2014

23 Cho, Y. M, "Characteristics of the image quality parameter in satellite imaging instrument" 1 (1): 66-74, 2002

24 Gopal, A, "Bar-pattern technique for modulation transfer function measurement in portal imaging" 5030 : 433-444, 2003

25 이태윤, "Bar 타겟을 이용한 DMC 영상의 공간해상력 검증" 한국측량학회 30 (30): 485-492, 2012

26 Ariyasu, E, "Application of mobile LIDAR mapping for damage survey after Great East Japan Earthquake" 39 : 573-576, 2012

27 Thomson, G. H, "A note on spatial resolution measurement and its implications for image radiometry" 30 (30): 1-8, 2009

28 Nuutinen, M, "A framework for measuring sharpness in natural images captured by digital cameras based on reference image and local areas" 2012 (2012): 1-15, 2012

29 Hellmuth, M. E, "A better climate for disaster risk management, International Research Institute for Climate and Society" Columbia University 2011

30 UNISDR, "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