一种极化SAR图像T型港口识别方法

针对T型港口特有的几何结构特征, 提出了一种极化合成孔径雷达(Synthetic Aperture Radar, SAR)图像T型港口识别方法.该方法利用基于区域统计特性的极化SAR数据水平集分割方法实现精确的海岸线提取.在此基础上通过曲线分裂归并算法提取岸线特征点, 并利用T型港口始末特征点的近距离特性实现感兴趣区域提取.然后采用基于链码的直线判断方法提取港口轮廓线段, 并通过判断轮廓平行直线和垂线特征实现T型港口的识别.使用伯克利地区TerraSAR极化SAR数据进行实验验证, 结果表明了提出算法的有效性, 能在大场景范围内正确识别出沿岸T型港口.

Target recognition method for T-Shaped harbor in polarimetric SAR images

A T-Shaped harbor recognition method is proposed in polarimetric synthetic aperture radar (SAR) images based on the geometrical characteristic of T-Shaped harbor. Accurate coastline is extracted using the region-based level set method of polarimetric SAR in this paper. Feature points of the extracted coastline are detected using merge and split algorithm of digital curve, and the regions of interest (ROI) are searched by the short distance characteristic between beginning point and end point. Then the line segments of ROI are recognized by chain codes method and T-Shaped harbors are recognized by detecting parallel line and perpendicular line structure of the ROI. The algorithm is tested using polarimetric SAR images acquired by TerraSAR over the Bekerley area. Experimental results demonstrate the effectiveness of the proposed algorithm that T-Shaped harbors are correctly recognized in large-scale scene.