高分辨率SAR图像舰船目标几何结构特征提取

Geometric Structure Feature Extraction of Ship Target in High-resolution SAR Image

  • 摘要: 随着SAR图像分辨率的提高,利用SAR图像进行舰船识别成为遥感卫星获取海洋情报的新途径。几何结构特征是对目标的直观描述,提取方法简单,成为对舰船目标进行初分类的重要依据。本文首先介绍了几种典型的几何结构特征及其计算方法,并分析了它们在舰船识别中的作用,然后介绍了一种基于方位角估计的几何结构特征提取方法:对图像进行预处理抑制旁瓣,利用矩技术估计方位角,旋转目标至水平状态,采用逐步逼近的方法获得最小外接矩形,进而提取其他几何结构特征。实验结果证明本文方法提取的几何结构特征准确度高,算法稳定性好。

     

    Abstract: With the improvement of SAR image resolution, ship recognition using SAR image has become a new way to obtain marine intelligence for remote sensing satellite. Geometric structure feature which can be extracted easily is the intuitive description of targets, and becomes an important evidence for preliminary classification of ship targets. This paper firstly discusses some typical geometric structure features, which emphases on the calculation methods and applications for ship recognition. Then a new geometric structure feature extraction method based on azimuth estimation is proposed. Morphological open operation is adopted in pre-processing to eliminate the side lobe, moment technique is exploited for azimuth estimation to rotate the target to horizontal state, and gradual approximation is used for obtaining the minimum bounding rectangle to extract other geometric structure features. The experiments on real SAR images demonstrate that our method can extract the geometric structure features with high accuracy and good stability.

     

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