一种新颖的高分辨率SAR舰船检测方法

A Novel Ship Detection Technique in High-Resolution SAR

随着合成孔径雷达(SAR)图像的分辨率提高,基于高分辨率SAR图像的舰船检测成为海洋遥感应用中的一个重要课题。针对高分辨率SAR图像,为获取精确的、完整的舰船目标信息而提出一种基于改进的相干散射点(CS)提取的舰船检测方法。该方法的核心是利用SAR图像复数据的确定目标特性,提取出CS,该方法不仅利用了图像复数据的幅度信息,同时利用了相位信息。首先对于原始高分辨率SAR图像复数据进行距离向子视处理,获取子视图像像素的相关系数;然后,由于SAR图像分辨率较高,为获取完整的舰船目标信息,引入局部图像平均相关系数处理;最后设定相关系数阈值,从海域中提取出舰船目标,完成舰船检测。仿真实验结果验证了该检测方法的有效性。

With the enhancement of SAR image resolution,the ship detection based on high-resolution SAR images is becoming an important issue in ocean remote sensing.A new method for ship detection based on improved coherent scatterer（CS）extraction is proposed to obtain accurate and complete ship target information in high resolution SAR images.The core of this method is exploiting the determinate targets＇characteristic to extract CS from the image complex data,which not only uses the amplitude information,but also the phase information.First,obtaining the correlation coefficient of the high-resolution SAR image pixels by range sub-look images processing,and then,considering the resolution is high,in order to obtain complete information of the ship targets,we introduce local image average correlation coefficient processing.Finally,setting the correlation coefficient threshold to extract ship target information in the ocean,and accomplish the ship detection.The simulation results show the effectiveness of this ship detection method.