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基于航天可见光遥感图像的舰船目标检测和速度估算方法

发布时间:2018-09-13 11:46
【摘要】:基于光学遥感图像的舰船目标检测是海洋目标检测领域的重要研究方向,尤其是在海上安全形势日趋复杂的现阶段,基于星载光学遥感图像的舰船目标检测已经成为各国学者专家的研究重点,在水运交通管理、海域监控等领域具有重要的研究意义和广阔的应用前景。 本文针对可见光遥感图像内舰船目标快速检测和舰船速度准确估算等问题,首先介绍了常用的目标检测算法和船速估算方法,建立了舰船目标检测和船速检测方法的原理框架;然后,提出了一种基于可见光遥感图像的舰船目标检测算法,以噪声图像、光照不均匀图像和云雾干扰图像为研究对象,结合海陆复杂背景图像及舰船目标的成像特点,综合利用图像预处理、图像匀光处理和抗云雾干扰等算法,快速准确地实现海陆复杂背景下的舰船目标检测;最后,根据不同分辨率遥感图像内行驶舰船的尾迹成像特点,研究了舰船尾迹参数与船速的物理关系,提出了在不同分辨率下进行舰船速度估算的两种方法。
[Abstract]:Ship target detection based on optical remote sensing image is an important research direction in the field of ocean target detection, especially at the present stage when the maritime security situation is becoming more and more complicated. Ship target detection based on space-borne optical remote sensing images has become the research focus of scholars and experts from all over the world. It has important research significance and broad application prospect in waterway traffic management, sea area monitoring and other fields. In this paper, aiming at the problems of fast detection of ship target and accurate estimation of ship velocity in visible light remote sensing image, the common algorithms of target detection and ship velocity estimation are introduced, and the principle frame of ship target detection and ship speed detection is established. Then, a ship target detection algorithm based on visible light remote sensing image is proposed, which takes noise image, uneven illumination image and cloud and fog interference image as the research object, combined with the sea and land complex background image and the imaging characteristics of ship target. Using image preprocessing, image processing and anti-cloud interference algorithms, the ship target detection under the complex background of sea and land is realized quickly and accurately. Finally, according to the characteristics of moving ship wake imaging in different resolution remote sensing image, The physical relationship between ship wake parameters and ship velocity is studied, and two methods for ship velocity estimation at different resolution are proposed.
【学位授予单位】:西安电子科技大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TP751

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