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A target identification approach based on active contour model and coherence coefficient criteria for polarimetric SAR images

机译:基于主动轮廓模型和相干系数准则的极化SAR图像目标识别方法

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A new target identification algorithm is presented in this paper. Active contour model approach is applied to obtain the shape of the objects from background. Coherence coefficient criteria derived for polarimetric synthetic aperture radar (SAR) image is then applied to identify the targets we are interested in. Pi-SAR image of cultivation boxes over sea surface was selected to verify the proposed algorithm. Results show that this algorithm is an effective target detection and identification approach.
机译:提出了一种新的目标识别算法。应用主动轮廓模型方法从背景获得对象的形状。然后,将针对极化合成孔径雷达(SAR)图像得出的相干系数标准应用于识别我们感兴趣的目标。选择了海面养殖箱的Pi-SAR图像来验证所提出的算法。结果表明,该算法是一种有效的目标检测与识别方法。

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