| 自适应图像增强的差值哈希算法对运动目标的跟踪定位研究 |
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| 引用本文： | 吴子岳,杨帅,王董测,孙鹏飞.自适应图像增强的差值哈希算法对运动目标的跟踪定位研究[J].全球定位系统,2018,43(5):98-104. |
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| 作者姓名： | 吴子岳 杨帅 王董测 孙鹏飞 |
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| 作者单位： | 上海海洋大学 工程学院,上海201306 |
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| 摘 要： | 对于运动目标的跟踪定位研究成为当前的研究热点,利用北斗卫星定位系统对微小运动目标进行跟踪定位尚存在一定难度.文中借助无人机的摄像机设备,采用跟踪算法进行对运动目标的跟踪,通过对无人机的定位获取到相应的坐标信息,实现目标定位的精准化。为了更好地实现对于目标跟踪的效果,文中采用自适应图像增强的方式提高图像质量,通过拉普拉斯变换的差值哈希算法能够提高对运动目标跟踪的效果,在跟踪速度上有了明显的提升.
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| 关 键 词： | 北斗卫星定位系统 图像增强 差值哈希算法 目标跟踪 |
The Tracking and Localization of Moving Objects by the Difference Hash Algorithm of Adaptive Image Enhancement |
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| Affiliation: | Shanghai Ocean University,College of Engineering Science and Technology, Shanghai 201306,China |
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| Abstract: | Tracking and positioning of moving targets has become a research hotspot in the current frontier technology. It is still difficult to track and locate small moving targets in the big environment of Beidou satellite positioning system. In this paper, with the help of UAV camera equipment, tracking algorithm is used to track moving targets. The positioning of UAV obtains the corresponding coordinate information to achieve the precise positioning of the target.In order to better achieve the effect of target tracking, this paper adopts the method of adaptive image enhancement to improve the image quality. By using the Laplace transform's difference hash algorithm, the effect of moving target tracking can be improved and the tracking speed can be improved obviously. |
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