The Journal of Korean Institute of Electromagnetic Engineering and Science (한국전자파학회논문지)

The Korean Institute of Electromagnetic Engineering and Science (한국전자파학회)
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A Study on Scattering Center Extraction Using Full Polarimetric Data

다중편파 데이터를 이용한 표적 산란점 추출에 대한 연구

  • Jeong, Seong-Jae (Department of Electrical Engineering, Pohang University of Science and Technology) ;
  • Lee, Seung-Jae (Department of Electrical Engineering, Pohang University of Science and Technology) ;
  • Kim, Kyung-Tae (Department of Electrical Engineering, Pohang University of Science and Technology)
  • 정성재 (포항공과대학교 전자공학과) ;
  • 이승재 (포항공과대학교 전자공학과) ;
  • 김경태 (포항공과대학교 전자공학과)
  • Received : 2016.01.19
  • Accepted : 2016.04.14
  • Published : 2016.06.07
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Abstract

In this paper, we introduce a method of scattering centers extraction using the polarimetric data. VIRAF software based on the PO (Physical Optics) and PTD(Physical Theory of Diffraction) were used to calculate the surface scattering and the edge or wedge scattering, respectively. In addition, by using the unitary transformation, 4-channel data based on the linear polarization basis were converted to 2-channel data based on the left/vertical-circular polarization basis, leading to data compression coherently. The scattering mechanism was analyzed in terms of the polarization states and different look angles by using the scattering center of a target extracted by the 2D RELAX algorithm.

본 논문에서는 다중 편파(polarimetry) 데이터를 이용한 산란점(scattering center) 추출 알고리즘을 소개하고자 한다. 산란파 계산을 위해 상용 툴인 VIRAF(virtual aircraft framework)의 물리 광학법(Physical Optics: PO)/물리광학 회절이론(Physical Theory of Diffraction: PTD)을 사용하여 표적 표면과 모서리에 의한 산란을 각각 계산하였다. 또한, 단위 변환(unitary transformation)을 이용하여 선형 기저(linear basis) 기반 4-채널 데이터를 수평/수직-좌원형 기저(horizontal/vertical-circular basis) 2-채널 데이터로 변환하였고, 그 결과 데이터를 코히런트하게 압축할 수 있었다. 스펙트럼 추정 방법(spectral estimation technique)에 하나인 2차원 RELAX 알고리즘을 사용하여 산란점(scattering center) 추출을 하였고, 편파 방향과 관측각도 변화에 따른 산란현상을 각각 분석하였다.

Keywords

References

  1. J. S. Lee, E. Pottier, Polarimetric Radar Imaging: from Basics to Applications, Boca Raton, FL: CRC Press, 2009.
  2. J. J. van Zyl, Y. Kim, Synthetic Aperture Radar Polarimetry, New York: Wiley, 2010.
  3. C. Ozdemir, Inverse Synthetic Aperture Radar Imaging with MATLAB Algorithms, New York: Wiley, 2012.
  4. M. Martorella, E. Giusti, L. Demi, Z. Zhou, A. Cacciamano, F. Berizzi, and B. Bates, "Target recognition by means of polarimetric ISAR images", IEEE Trans. Aerosp. Electron. Syst., vol. 47, no. 1, pp. 225-239, 2011. https://doi.org/10.1109/TAES.2011.5705672
  5. M. Martorella, E. Giusti, A. Capria, F. Berizzi, and B. Bates, "Automatic target recognition by means of polarimetric ISAR images and neural networks", IEEE Trans. Geosci. Remote Sens., vol. 47, no. 11, pp. 3786-3794, 2009. https://doi.org/10.1109/TGRS.2009.2025371
  6. R. Paladini, M. Martorella, and F. Berizzi, "Classification of man-made targets via invariant coherency- matrix eigen vector decomposition of polarimetric SAR/ ISAR images", IEEE Trans. Geosci. Remote Sens., vol. 49, no. 8, pp. 3022-3034, 2011. https://doi.org/10.1109/TGRS.2011.2116121
  7. E. Giusti, M. Martorella, and A. Capria, "Polarimetrically-persistent-scatterer-based automatic target recognition", IEEE Trans. Geosci. Remote Sens., vol. 49, no. 11, pp. 4588-4599, 2011. https://doi.org/10.1109/TGRS.2011.2164804
  8. M. Duquenoy, J. P. Ovarles, L. Ferro-Famil, E. Pottier, and L. Vignaud, "Scatterers characterisation in radar imaging using joint time-frequency analysis and polarimetric coherent decompositions", IET Proc. Radar Sonar Navig., vol. 4, no. 3, pp. 384-402, 2010. https://doi.org/10.1049/iet-rsn.2008.0086
  9. R. Paladini, L. Ferro-Famil, E. Pottier, M. Martorella, F. Berizzi, and E. D. Mese, "Point target classification via fast lossless and sufficient ${\Omega}-{\Psi}-{\Phi}$ invariant decomposition of high-resolution and fully polarimetric SAR/ISAR data", Proc. IEEE, vol. 101, no. 3, pp. 798-830, 2013. https://doi.org/10.1109/JPROC.2012.2227894
  10. K. -T Kim, S. -W Kim, and H. -T Kim, "Two-dimensional ISAR imaging using full polarisation and super-resolution processing techniques", IEE Proc. Radar Sonar Navig., vol. 145, no. 4, pp. 240-246, 1998. https://doi.org/10.1049/ip-rsn:19982033
  11. J. Li, P. Stoica, "Efficient mixed-spectrum estimation with applications to target feature extraction", IEEE Trans. Signal Processing, vol. 44, no. 2, pp. 281-295, 1996. https://doi.org/10.1109/78.485924
  12. 조희진, 최각규, 한승구, 김경태, 송성찬, "RELAX 기법을 이용한 미사일의 길이 추정 신호 처리 기법 연구", 한국전자파학회논문지 24(3), pp. 292-298, 2013 년 3월. https://doi.org/10.5515/KJKIEES.2013.24.3.292