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基于CSAR成像的相干斑统计模型研究 被引量:1

Statistical Models of Speckle for Circular SAR Imaging
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摘要 圆迹SAR是近些年发展的一种全方位高分辨率新型雷达成像模式。通过一次圆形航迹获得的360°多角度图像能够解决传统SAR无法获取全方位数据的问题,在目标识别、区域检测和3D重建等应用上提供了更为有效的技术途径。该文通过传统SAR图像的统计模型,在假设每个子孔径影像均匀区域独立且服从伽马分布条件下分别建立圆迹SAR中相干累加、非相干累加和取子孔径最大强度值法这3种图像合成方法的统计模型,分析3种方法对图像相干斑的影响,分析结果表明非相干累加具有最好的降斑效果,取最大强度值也能在一定程度上降低相干斑。 Circular Synthetic Aperture Radar(CSAR) is a recently developed all-directional high-resolution imaging mode, which is efficient in dealing with the target recognition, area monitoring, and three-dimensional reconstruction because of the acquisition of 360° data in a single pass. To obtain the entire 360° image using information from all subapertures, the following methods are used:(1) the coherent addition method,(2) the incoherent addition method, and(3) the maximum-intensity methods. In this study, different statistical models of speckle in CSAR images are proposed and the speckle reduction of each model is discussed. Experiments show that the incoherent addition and maximum-intensity methods reduce speckle, whereas the coherent addition method does not.
出处 《雷达学报(中英文)》 CSCD 2015年第6期708-714,共7页 Journal of Radars
基金 国家自然科学基金(61431018)~~
关键词 圆迹合成孔径雷达(CSAR) 相干斑统计模型 伽马分布 Circular Synthetic Aperture Radar(CSAR) Speckle Statistical model Gamma distribution
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参考文献17

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