基于光学遥感图像的船舶跟踪算法研究

Research on ship tracking algorithm based on optical remote sensing image

船舶在海上航行中需要进行实时跟踪避免航向偏离,提出基于光学遥感图像的船舶跟踪算法。采用光学遥感检测方法进行船舶运动成像,对采集的船舶光学遥感图像进行融合滤波,降低船舶遥感图像的噪点,采用Harris角点检测方法对船舶光学遥感图像进行动态特征点标注,提取反映船舶航行动态特征的轨迹,结合遥感图像监测方法实现对船舶的动态跟踪识别。仿真结果表明,采用该方法进行船舶跟踪和遥感成像,输出光学遥感成像的质量较好,信息融合度较高,提高了船舶动态跟踪能力,确保船舶航行稳定安全。

It is necessary to track the ship in real time to avoid course deviation. A ship tracking algorithm based on optical remote sensing image is proposed. The method of optical remote sensing detection is used for ship motion imaging. The collected ship optical remote sensing image is fused and filtered to reduce the noise of the ship remote sensing image. The dynamic feature points of the ship optical remote sensing image are tagged by the Harris corner detection method, and the trajectory features reflecting the dynamic characteristics of the ship's navigation are extracted. The simulation results show that the quality of the output optical remote sensing imaging is better and the fusion degree of information is high, the simulation results show that the method can be used for ship tracking and remote sensing imaging, which is based on the method of remote sensing image monitoring, and the simulation results show that the method can be used for ship tracking and remote sensing imaging. The dynamic tracking ability of ships is improved to ensure the stability and safety of ship navigation.