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Feature Extraction of Ground Vehicles from High Resolution SAR Imagery Based on Electromagnetic Scattering Characteristic

机译:基于电磁散射特征的高分辨率SAR图像地面车辆特征提取

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Feature extraction is an important phase in SAR imagery interpretation and target recognition, electromagnetic scattering characteristic is the inherent characteristic of target on SAR imagery.High resolution SAR imagery interpretation and target recognition, particularly the ground vehicles recognition, needs to be carried through based on target scattering characteristic and target's electromagnetic feature extraction.This paper analyzes the electromagnetic scattering mechanism of typical ground vehicles firstly, and the feasibility of modeling the electromagnetic scattering characteristic of ground vehicles with attributed scattering center model has been discussed in brief.And then, by making some improvement on the existing method of attributed scattering center feature extraction from SAR imagery, a modified method for feature extraction of ground vehicles from measured high resolution SAR imagery based on electromagnetic scattering characteristic has been proposed.Finally, performance of the proposed algorithm has been validated on measured 0.3m resolution MSTAR and 0.1m resolution MiniSAR SAR imagery data.
机译:特征提取是SAR图像解释和目标识别的重要阶段,电磁散射特性是SAR图像目标的固有特征。高分辨率SAR图像的解释和目标识别,尤其是地面车辆的识别,需要基于目标进行。本文首先分析了典型地面车辆的电磁散射机理,并简要讨论了利用属性散射中心模型对地面车辆电磁散射特性进行建模的可行性。在对现有的SAR图像属性散射中心特征提取方法进行改进的基础上,提出了一种基于电磁散射特性的从实测高分辨率SAR图像中提取地面车辆特征的改进方法。该算法在已测量的0.3m分辨率MSTAR和0.1m分辨率MiniSAR SAR图像数据上得到了验证。

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