전자공학회논문지 (Journal of the Institute of Electronics and Information Engineers)

대한전자공학회 (The Institute of Electronics and Information Engineers)
권호 표지
DOI QR코드

DOI QR Code

SAR image 복구를 위한 Window 적용 효과 연구

Analysis of Various Window Effect for SAR image Recovery

  • 김형욱 (경상대학교 전자공학과 공학연구원) ;
  • 고진환 (경상대학교 전자공학과 공학연구원)
  • Kim, Hyunguk (Department of Electronic Engineering, Engineering Research Institute, GyeongSang National University) ;
  • Koh, Jinhwan (Department of Electronic Engineering, Engineering Research Institute, GyeongSang National University)
  • 투고 : 2015.07.17
  • 심사 : 2015.12.01
  • 발행 : 2015.12.25
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

SAR(Synthetic Aperture Radar)는 radio wave를 이용하여 영상 정보를 얻는 Radar이다. Platform이 radio wave를 방사하여, 대상 물체에서 되돌아오는 후방 산란파 (Back-scattering) 신호를 거리에 따라 2차원 영상(SAR image)으로 기록하여 지형도를 작성한다. 본 논문에서는 SAR image 복구를 위해 SAR image processing에서 다양한 window를 적용하는 시뮬레이션을 통하여 window의 적용 효과를 연구하였으며, 그 결과 신호의 SNR 측면에서는 Flattop window가 가장 좋은 성능 향상을 보여 주는 것을 확인하였다.

SAR is a Radar to obtain the video information using a radio wave. Platform emit the radio wave, depending backscattered waves returned from the target object the signal to the distance, to create a topographical map is recorded in two-dimensional image. In this paper, through a simulation to apply a variety of window in the SAR image processing for SAR image recovery is to study the application effect of the window, as a result, at the side of the signal of the SNR, Flattop window to improve the best performance it was confirmed to show.

키워드

참고문헌

  1. Mason, Paul Ryan. "MATLAB Simulation of Two-Dimensional SAR Imaging By Range Doppler Algorithm." San Luis Obispo, CA : California Polytechnic State University San Luis Obispo California, 2007. Master's Thesis.
  2. Soumekh, Mehrdad. "Synthetic Aperture Radar Signal Processing with MATLAB Algorithms." New York, NY: Wiley & Sons, Inc., 1999.
  3. Zaharris, Brian. "Two-Dimensional Synthetic Aperture Radar Imaging and Moving Target Tracking Using the Range Doppler Algorithm Simulated in MATLAB." San Luis Obispo, CA : California Polytechnic State University San Luis Obispo California, 2006. Master's Thesis.
  4. G. Newstadt, et al, "Detection/Tracking of moving targets with synthetic aperture radars," Dept. Elect. Comput. Sci., Univ. Michigan, Michigan, 2010.
  5. Kawalec, A.; Serafin, P., "Estimation Of Target Movement Parameters In Synthetic Aperture Radar," Radar Symposium, 2006. IRS 2006. International ,vol., no., pp.1,4, 24-26 May 2006.
  6. Radius, A.; Solimini, D., "A velocity vector estimation algorithm tested on simulated SAR raw data," Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International , vol., no., pp.563,566, 23-28 July 2007.
  7. Neo, Yew Lam, Frank H. Wong, and Ian G. Cumming. "Processing of azimuth-invariant bistatic SAR data using the range Doppler algorithm." Geoscience and Remote Sensing, IEEE Transactions on 46.1 (2008): 14-21. https://doi.org/10.1109/TGRS.2007.909090
  8. Shoalehvar, Amin. "Synthetic aperture radar (sar) raw signal simulation." (2012).