doi:

DOI: 10.3724/SP.J.1300.2012.20020

Journal of Radars (雷达学报) 2012/1:2 PP.190-195

A New Algorithm for Analyzing the SAR Image of the Cylindrical Oil Tank


Abstract:
In this paper, a new approach for the understanding of the SAR image of the cylinder oil tank is presented. In the approach, the Physical Optics (PO) and the theory of Incremental Length Diffraction Coefficients (ILDC) are employed to set up the scattering model of the oil tank according to the circle edges and cylinder geometry futures, and the position of the main scattering centers are deduced. The SAR image of the tank is simulated through the scattering model and the imaging model based on Mapping and Projection Algorithm (MPA). The real SAR data and the simulation test the validity of the approach. Furthermore, the scattering centers are detected with 45 groups of the measured data. According the scattering model and the imaging model in the approach proposed, the main scattering characteristics of the cylindrical oil tank are interpreted and summarized. It is hoped that the work in this paper could provide some useful guidelines for the identification of the oil tank in the SAR images.

Key words:Oil tank,SAR image,SAR image simulation,Scattering center,Scattering characteristics

ReleaseDate:2014-07-21 16:18:53



[1] 夏昕. SAR图像典型目标特征提取与识别方法研究[D]. [硕士论文], 四川大学, 2006, 第1章. Xia Xin. Study of feature extraction and recognition of typical targets in SAR images[D]. [Master dissertation], Sichuan University, 2006, Ch. 1.

[2] Wang Yuanxun and Ling Hao. Radar signature prediction using moment method codes via a frequency extrapolation technique[J]. IEEE Transactions on Antenna Propagation, 1999, 47(6): 1008-1014.

[3] Xu Feng and Jin Ya-qiu. Imaging simulation of polarimetric SAR for a comprehensive terrain scene using the mapping and projection algorithm[J]. IEEE Transactions on Geoscience and Remote Sensing, 2006, 44(11): 3219-3234.

[4] Franceschetti Giorgio and Schirinzi Gilda. A SAR processor based on two-dimensional FFT codes[J]. IEEE Transactions on Aerospace and Electronic System, 1990, 26(2): 356-366.

[5] Cumming Ian G and Wong Frank H. Digital Processing of Synthetic Aperture Radar Data: Algorithms and Implement- tation[M]. London: Artech House, 2005, Ch. 5.

[6] Ling H, Chou R, and Lee S W. Shooting and bouncing rays: calculating RCS of an arbitrary cavity[J]. IEEE Transactions on Antenna Propagation, 1989, 37(2): 194-205.

[7] Shore Roben A and Yaghjian Anhur D. Incremental diffraction coefficients for planar aurfaces[J]. IEEE Transactions on Antenna Propagation, 1988, 36(1): 55-70.

[8] 王新赛, 张天序, 桑农. 实孔径雷达景象模拟研究[J]. 红外与毫米波学报, 2002, 21(1): 54-58. Wang Xin-sai, Zhang Tian-xu, and Sang Nong. Simulation of real aperture radar scene[J]. Journal of Infrared Milimeter Waves, 2002, 21(1): 54-58.

[9] Rihaczek August W and Hershkowitz Stephen J. Theory and Practice of Radar Target Identification[M]. London: Artech House, 2000, Ch. 2.

PDF