SAR图像技术在船舶目标检测和参数提取中的应用

发布时间：2018-05-18 15:52

本文选题：目标检测 + SAR图像技术　；参考：《舰船科学技术》2017年10期

【摘要】：SAR技术飞速发展,大量的船载SAR系统已经运用到了船舶目标检测和参数提取中。本文在传统的船舶目标检测的基础上进行改进,提出基于分解理论的极化SAR图像船舶目标检测,并在检测过程中利用边缘检测模板和Freeman分解理论提取边缘信息,解决边缘模糊的问题。本文还提取船舶目标的运动参数。最后进行仿真实验,实验结果表明本文具有可行性和一致性。
[Abstract]:With the rapid development of SAR technology, a large number of shipborne SAR systems have been applied to ship target detection and parameter extraction. Based on the traditional ship target detection, a polarimetric SAR image ship target detection based on decomposition theory is proposed in this paper. The edge information is extracted by using edge detection template and Freeman decomposition theory in the detection process. Solve the problem of blurry edges. The motion parameters of ship targets are also extracted in this paper. Finally, the simulation results show that this paper is feasible and consistent.
【作者单位】：南京信息职业技术学院;
【基金】：南京信息职业技术学院自然科研基金资助项目(YK20160501) 江苏省高校品牌专业建设工程资助项目(PPZY2015A092)
【分类号】：TN957.52;U665.2

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