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斜视圆迹环扫SAR模式特性分析及成像方法 被引量:5

Analysis of the characteristics of squint circular scanning SAR and its imaging method
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摘要 圆迹环扫合成孔径雷达是一种通过增加方位扫描速度来实现快速大场景成像的新型合成孔径雷达成像模式.相比于常见的正侧视圆迹环扫合成孔径雷达,斜视圆迹环扫合成孔径雷达由于其独特的观测角度,拥有正侧视圆迹环扫合成孔径雷达所不具备的观测优势.但是,现有的正侧视圆迹环扫合成孔径雷达信号特性分析方法以及成像技术已不再适用于斜视圆迹环扫合成孔径雷达.针对此问题,结合斜视圆迹环扫合成孔径雷达的运动特点,建立了回波距离模型,并进一步分析了方位扫描速度、多普勒特性及方位分辨率等参数,从中揭示了斜视圆迹环扫合成孔径雷达和经典直线模式之间的内在联系,给出了适用于斜视圆迹环扫合成孔径雷达的成像算法. Circular scanning SAR(CSSAR) is a new mode for fast large area SAR imaging by increasing the azimuth scanning speed. The squint CSSAR possesses the advantages that the side-looking CSSAR does not have due to its unique observing direction. However, the available signal characteristic analysis and imaging method for side-looking CSSAR become questionable when applied to the squint CSSAR. This paper establishes the echo range model and analyzes several parameters such as azimuth scanning speed, Doppler characteristics and azimuth resolution according to the moving feature of squint CSSAR. Furthermore, the internal relationship between the squint CSSAR and the classical stripmap mode is revealed. The range approximation model as well as the corresponding imaging method is analyzed. Computer simulation results validate the conclusions and the imaging method.
出处 《西安电子科技大学学报》 EI CAS CSCD 北大核心 2014年第1期38-44,74,共8页 Journal of Xidian University
基金 国家自然科学基金优秀青年基金资助项目(61222108) 国家自然科学基金资助项目(61201284) 中央高校基本科研业务费专项资金资助项目(k5051302013)
关键词 合成孔径雷达 斜视圆迹环扫 多普勒参数 二维频谱 synthetic aperture radar squint circular scanning Doppler parameter two-dimensional spectrum
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  • 1徐丰,金亚秋.目标散射的去取向理论和应用(一)去取向理论[J].电波科学学报,2006,21(1):6-15. 被引量:7
  • 2Maitre H,孙洪等译.合成孔径雷达图像处理[M].北京:电子工业出版社,2005:67-103.
  • 3Freeman A,Durden S L.A Three-component Scattering Model for Polarimetric SAR[J].IEEE Transactions on Geoscience and Remote Sensing,1998,36(3):963-973.
  • 4Yamaguchi Y,Moriyama T,Ishido M,et al.Four-component Scattering Model for Polarimetric SAR Image Decomposition[J].IEEE Transactions on Geoscience and Remote Sensing,2005,43(8):1699-1706.
  • 5Jiao Zhihao,Yang Jian,Yeh C M,et al.Modified Three-component Decomposition Method for Polarimetric SAR data[J].IEEE Geoscience and Remote Sensing Letters,2014,11(1):200-204.
  • 6Liu Gaofeng,Li Ming,Wang Yajun,et al.Four-component Scattering Power Decomposition of Remainder Coherency Matrices Constrained for Nonnegative Eigenvalues[J].IEEE Geoscience and Remote Sensing Letters,2014,11(2):494-498.
  • 7Wang Chunle,Yu Weidong,Wang R,et al.Comparison of Nonnegative Eigenvalue Decompositions with and without Reflection Symmetry Assumptions[J].IEEE Transactions on Geoscience and Remote Sensing,2014,52(4):2278-2286.
  • 8Zhang Hong,Xie Lei,Wang Chao,et al.Investigation of the Capability of H-decomposition of Compact Polarimetric SAR[J].IEEE Geoscience and Remote Sensing Letters,2014,11(4):868-872.
  • 9Cloude S R,Pottier E.A Review of Target Decomposition Theorems in Radar Polarimetry[J].IEEE Transactions on Geoscience and Remote Sensing,1996,34(2):498-518.
  • 10Lee J S,Grunes M R,Kwok T.Classification of Multi-look Polarimetric SAR Imagery Based on Complex Wishart Distribution[J].International Journal of Remote Sensing,1994,15(11):2299-1311.

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