摘要
针对遥感卫星相机光轴指向测量系统的CMOS图像传感器易受空间环境影响,导致图像缺陷,进而影响光斑质心解算精度的问题,本文提出了一种高精度的光斑质心实时解算方法。仿真分析结果表明该方法能够准确地追踪图像中光斑位置的变化,从而验证了其分步解算策略的可行性。分别采用分步法、OTSU质心法和高斯拟合法对测量系统所采集的图像进行光斑质心的实时解算。实验结果显示,分步法的实时性好,光斑识别成功率最高,质心解算平均偏差和标准差最小,分别为0.026和0.029 pixels。该方法可以为光轴指向测量系统提供可靠的数据支撑。
The images produced by the CMOS sensor of the high-orbit satellite′s optical axis pointing measurement system are prone to degradation due to the harsh space environment.This degradation adversely affects the quality of the images and compromises the accuracy of the spot centroid results.To combat this issue,this study proposes a method for high-precision,real-time determination of spot centroid.Simulation analysis results show that this method can accurately track changes in the spot position within images,validating the feasibility of its step-by-step calculation strategy.The study employed the progressive method,OTSU centroid method,and the Gaussian fitting method for the real-time computation of spot centroids from images acquired by the measurement system.The experimental results show that the progressive method has good real-time performance,the highest success rate of spot location,and the smallest average deviation and standard deviation of centroid calculation,being 0.026 and 0.029 pixels,respectively.This approach provides reliable data support for optical axis pointing measurement systems.
作者
马浚轩
李红
张旭
朱云鸿
祝连庆
Ma Junxuan;Li Hong;Zhang Xu;Zhu Yunhong;Zhu Lianqing(Key laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument,Beijing Information Science&Technology University,Beijing 100192,China;Beijing Laboratory of Optical Fiber Sensing and System,Beijing Information Science&Technology University,Beijing 100016,China;Guangzhou Nansha Intelligent Photonic Sensing Research Institute,Guangzhou 511462,China)
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2024年第6期266-273,共8页
Chinese Journal of Scientific Instrument
基金
北京学者计划研究项目(BJXZ2021-012-00046)资助。
关键词
夹角测量系统
模板匹配
实时处理
FPGA
included angle measuring system
template matching
real-time processing
FPGA
作者简介
马浚轩,2021年于北京工业大学获得学士学位,现为北京信息科技大学仪器科学与光电工程学院硕士研究生,主要研究方向为光纤传感与光电器件。E-mail:15910595039@163.com;通信作者:祝连庆,分别在1982年和1989年于合肥工业大学获得学士学位和硕士学位,2013年于哈尔滨工业大学获得博士学位,现为北京信息科技大学教授,主要研究方向为光纤传感技术、光纤激光器、光电精密测试技术等。E-mail:lqzhu_bistu@sina.com。
