【作者】 鲁统臻；

【导师】 王国宇； 张杰；

【作者基本信息】 中国海洋大学 ， 信号与信息处理， 2010， 硕士

【摘要】 我国具有漫长的海岸线,专属经济区海域与邻国存在权益争端,必须对他国非法进入我国专属经济区的舰船予以监视监测,维护我国海洋权益。星载SAR具有空间分辨率高、覆盖面积大的特点,能够实现舰船目标的精确定位,且高分辨率SAR图像为舰船类型识别提供了可能,但舰船检测结果难以有效验证。AIS(船舶自动识别系统)能实时进行船舶识别、监视、通信和状态报告,具有定位精度高、全天候的特点,可利用AIS提供的信息对SAR舰船目标检测结果进行有效验证。目前已有多种基于SAR图像的舰船目标检测算法,但由于缺少实测数据,无法为现有的舰船目标检测结果做出客观的评价。本文开展了星载SAR与AIS舰船目标同步探测实验,获取了青岛附近海域高分辨率RADARSAT-2图像以及同步AIS信息。基于实测数据发展了适用于不同环境下的SAR舰船目标检测方法,开展了高分辨率SAR图像面目标分割技术研究,提高了舰船长宽特征提取精度。在SAR舰船目标检测算法方面,本文开展不同杂波条件下的舰船目标检测研究,探讨了不同海况、噪声条件对舰船目标检测的影响,提出一种适用于不同杂波条件下的舰船目标检测方法—基于G。分布的SAR舰船目标检测算法,并与经典的基于K分布的CFAR算法对比,利用实测数据对算法进行有效验证。在高分辨率SAR图像舰船目标分割方面,本文分析多种高分辨率图像滤波算法的滤波效果,并基于高分辨率图像中舰船为面目标的特点,将遥感分类思想引入SAR图像分割领域,建立SAR图像多阈值分割思想,发展了基于FCM的高分辨率SAR影像聚类分割算法,并通过与KSW双阈值算法的分割效果进行对比,评价本文方法的有效性；利用AIS这一重要的辅助数据源,探讨高分辨率SAR影像中舰船目标长、宽信息提取的精度问题。更多还原

【Abstract】 China has a long coastline, there has Conflicts of interest in the exclusive economic zone with neighboring countries.we must keep watch over the ships entering economic zone Without permission, Maintain our maritime rights and interests. Spaceborne SAR has high spatial resolution and large coverage area, which can determine the precise position of the ship.High-resolution SAR images for the identification of possible ship type, but the ship is difficult to effectively verify the test results. AIS (Automatic Identification System) in real-time identification of ships, surveillance, communications and status reports, with high precision, all-weather features, can be used to provide information on the SAR ship detection results for effective verification.Nowadays many ship target detection algorithms have been developed based on SAR images. Due to run short of in situ measurement data, it is very difficult to give those algorithms objective evaluation.This paper carried out with the SAR and AIS objective simultaneous detection experiments in the waters near Qingdao, we get high-resolution RADARSAT-2 images and synchronize AIS information. A new ship target detection algorithm has developed based on the measurements,which can apply to different circumstances,and high-resolution SAR image segmentation algorithm of surface targets has developed, which improve the accuracy of ship length and width of feature extraction.As for SAR Ship target detection algorithm, in this paper ship target detection under different clutter is carried out, the effect of different sea conditions and noise conditions on the ship target detection are discussed, A new algorithm -ship target detection of SAR images based on The G0 distribution which can apply to different circumstances is developed,and with the classical CFAR algorithm based on K distribution in comparison algorithm using measured data on effective verification. As for high-resolution ship targets segmentation algorithm of SAR images, A variety of high-resolution image filtering algorithm are analyzed.Based on ships in high-resolution images are surface target, remote sensing classification ideas are used in SAR images segmentation,and multi-threshold segmentation theory is established.A high-resolution SAR images clustering segmentation algorithm based on FCM is developed in paper, which were compared with KSW segmentation algorithm to evaluate the effectiveness of this method. AIS are important supplementary data sources,which are used to discuss the accuracy problem of extracting ship target length and width in high resolution SAR images.更多还原