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Development of GRD Measurement Method using Natural Target in Imagery

영상 내 자연표적을 이용한 GRD 측정기법 개발

  • 김재인 (인하대학교 영상공학연구실) ;
  • 정재훈 (인하대학교 영상공학연구실) ;
  • 김태정 (인하대학교 영상공학연구실)
  • Received : 2010.08.17
  • Accepted : 2010.10.23
  • Published : 2010.10.31

Abstract

This paper reports a reliable GRD (Ground Resolved Distance) measurement method of using natural targets instead of the method using artificial targets. For this, we developed an edge profile extraction technique suitable for natural targets. We demonstrated the accuracy and stability of this technique firstly by comparing GRD values generated by this technique visually inspected GRD values for artificial targets taken in laboratory environments. We then demonstrated the feasibility of GRD estimation from natural targets by comparing GRD values from natural targets to those from artificial targets using satellite images containing both artificial and natural targets. The GRDs measured from the proposed method were similar to the values from visual inspection and the GRDs measured from the natural targets were similar to the values from artificial targets. These results support our proposed method is able to measure reliable GRD from natural targets.

본 논문에서는 영상의 품질 지표인 GRD(Ground Resolved Distance) 측정에 있어서 인공표적만을 이용하던 기존의 측정방식과는 다르게 지표상에 분포하고 있는 자연표적만을 이용하여 신뢰성 있는 GRD 산출이 가능하도록 새로운 방식의 GRD 측정가법을 고안하였다. 자연표적에서 활용 가능한 Edge Profile 추출기법을 개발하여 추출 정확도 및 안정성을 분석하였으며 그 결과, 자연표적을 이용할 경우 본 논문의 추출방식이 가장 적합한 방식임을 확인 할 수 있었다. 이를 적용한 GRD 측정기법의 정확도와 자연 표적에서의 활용 가능성을 평가하기 위해 육안분석결과를 보유하고 있는 인공표적영상과 인공표적이 된 인공위성영상을 이용하여 GRD 측정 실험을 수행하였다. 인공표적영상에서의 GRD 측정결과는 육안분석 결과와 매우 유사하여 높은 정확도를 보여주었으며 인공위성영상에서의 GRD 측정결과, 자연표적과 인공표적에서의 GRD 측정값이 유사하게 나타났다. 이는 제안한 GRD 측정기법을 이용하여 자연표적만으로도 신뢰성 있는 GRD 측정이 가능함을 보여준다.

Keywords

References

  1. Dennis Helder, Jason Choi, and Cody Anderson, 2006. On-orbit Modulation Transfer Function(MTF) Measurements for IKONOS and QuickBird, Proc. of 2006 Civil Commercial Imagery Evaluation workshop, Laurel, Maryland, March 14-16 USA, Sponsored by Joint Agency Commercial Imagery Evaluation(JACIE) Team.
  2. Campbell, J. B., 2002. Introduction to Remote Sensing, Third edition. Guilford Press, New York, N.Y.
  3. 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, 22(15): 88-93.
  4. Taeyoung Choi, 2002. IKONOS Satellite on Orbit Modulation Transfer Function (MTF) Measurement Using Edge and Pulse Method, a thesis of the requirements for the Master of Science Major in Engineering South Dakota State University.
  5. Taejung Kim, Hyunsuk Kim, HeeSeub Kim, 2008. Image-based estimation and validation of NIIRS for high-resolution satellite images, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Beijing, July. 3-11, 2008. XXXVII(B1):1-4.
  6. Dongwook Kim, Taejung Kim, Heeseob Kim, 2008. NIIRS Estimation using the general imagequality equation for monitoring image degradation, Proc. of International Symposium on Remote Sensing 2008, Daejeon, Korea, Oct. 29-31 2008. 53-56
  7. Jon C. Leachtenauer, William Malila, John Irvine and Linda Colburn, 1997. "General Image-Quality Equation: GIQE", Applied Optics, vol.36, No.32, 8322-8328. https://doi.org/10.1364/AO.36.008322
  8. Bruce Mathews and Theodore Zwicker, Flight test results from the Ultra High Resolution, Electro-Optical Framing Camera containing a 9216 by 9216 pixel, wafer scale, focal plane array, 1999. Proc. of SPIE, Airborne Reconnaissance XXIII, vol.3751, 133-144.