日间恒星实时探测的视频图像处理

冯小勇; 赵忠华; 刘新明

日间恒星实时探测的视频图像处理

1.
中国卫星海上测控部,江苏江阴 214431;
2.
上海交通大学仪器科学与工程系,上海 200240

基金项目:

总装备部重点试验技术研究项目

详细信息

作者简介:
冯小勇(1965-),男,甘肃灵台人,高级工程师,主要从事航天测控、光学测量、导航技术等方面设备总体技术的研究。E-mail:fxxxxxxy@yahoo.cn

中图分类号: TP751;TN941.1
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出版历程
- 收稿日期: 2011-09-17
- 修回日期: 2011-11-08
- 刊出日期: 2011-12-25

Video image processing of real-time star detection in daylight

1.
China Satellite Maritime Tracking &Controlling Department, Jiangyin 214431, China;
2.
Department of Instrument Science and Engineering, Shanghai Jiaotong University, Shanghai 200240, China

摘要

摘要: 为了解决船载光学测量设备日间测星数量偏少的问题,研究了暗小目标电视探测技术,以保证惯导系统全天时不间断航向校准。在视频图像处理中,采用中值滤波方法提高信噪比,同时采用基于模糊理论的最大模糊熵阈值分割方法自行构建隶属度函数,自适应求取阈值,实现了星体目标检测与识别。实验结果表明:在原光学设备光学系统不变的情况下,日间可探测的恒星由大于等于3.0星等、小于等于５颗,提高到了大于等于4.5星等,大于等于250颗,满足了惯导系统全天时不间断航向校准的要求。该成果可以推广应用于电视弱小目标探测领域。
- 光学测量 /
- 惯性导航 /
- 最大模糊熵阈值法 /
- 电视探测 /
- 图像处理
Abstract: To keep an inertial navigation system to correct its course errors continuously, a detection method is presented to solve the problem that few stars can be detected in daylight by the shipboard optical measuring equipment. The detecting method for the star body in daytime with strong background is studied. The median filter technology is used to improve the Signal to Noise Ratio(SNR) of an image, and the fuzzy entropy threshold method is used to creat its membership function and select the threshold of a gray-level image to detect star objects in daytime. The experimental result shows that the optical measuring equipment can improve the detecting ability from 3 MV to 4.5 MV and the amount of stars from 5 to 250 or more by this method. It meets the requirement of the inertial navigation system for correcting its course errors continuously. The method can be popularized and can be applied to the fields of dark and small target detection by televisions.
- optical measurement /
- inertial navigation /
- maximum-fuzzy-entropy division algorithm /
- television detection /
- image processing

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参考文献(1)

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