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作 者:王建涛[1] 秦玉亮[1] 王宏强[1] 邓彬[1]
机构地区:[1]国防科技大学电子科学与工程学院空间电子信息技术研究所,湖南长沙410073
出 处:《雷达科学与技术》2008年第5期347-351,共5页Radar Science and Technology
基 金:武器装备预研基金
摘 要:弹载SAR岛屿海岸线景象匹配成功概率与实时图中海岸线形状密切相关,海岛环境下海浪和地形起伏等因素对海岸线在SAR图像中的特征具有不可忽略的影响,造成海岸线的模糊和变形。首先分析了海岛环境弹载SAR图像的特点,然后基于海浪频谱和方向谱相关经验公式,利用线性叠加方法给出了详细的海浪仿真的实现过程;建立了海岛高程起伏的二维指数函数模型;利用波数域方法给出了典型场景下的海岛SAR图像仿真结果,并在此基础上分析了海浪和山峰对弹载SAR图像海岸线检测的影响和基于SAR图像的海岸线检测方法局限性。研究结果表明基于SAR回波数据的海岸线检测方法是一种适于弹载SAR应用的有效方法。The probability of success to scene matching based on coastline in the missile-borne SAR is much correlative with the shape of coastline in the real-time SAR image. The ocean waves and the hypsography have insufferable influences on the characteristics of coastline in the SAR image in the island circumstance and they may blur or distort the coastline. The features of the missile borne SAR image of island are analyzed. Then, based on frequency spectrums and directional spectrums of ocean wave, the simulation process of wave is presented in detail using the linear superposition method. The two dimensional exponential model of the hypsography is built. The simulation result of the typical scene is offered by the wavefront reconstruction algorithm. Finally the influences of ocean waves and hills on coastline detection in missile borne SAR and the limitation of coastline detection methods based on SAR image are analyzed. The researches show that coastline detection based on SAR echo is an effective method for missile-borne SAR.
分 类 号:TN958[电子电信—信号与信息处理] TP391.9[电子电信—信息与通信工程]
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