摘要
为解决空间碎片漫反射激光测距回波数据信噪比低,难以快速高效地提取有效数据点的问题,提出一种基于随机Hough变换的有效回波提取方法。考虑O-C残差中相邻信号点之间的时间相关性,将有效回波数据的提取问题转化为图像空间中的曲线识别问题。采用随机Hough变换,将确定一条曲线的n个数据点映射为参数空间中的一个点,并在参数空间中运用分数累加的策略进行曲线辨识,提取信号点。采用该方法处理中国科学院云南天文台空间碎片漫反射激光测距实验得到的数据,结果表明,该方法可以快速地提取近似曲线型分布的有效回波,且占用内存少,漏检率低,为自动高效提取空间碎片漫反射激光测距有效回波提供了新思路。
The signal-to-noise ratio（SNR） of space debris laser ranging（DLR） data is too low to extract the effective echo with fast and effective methods. To solve this problem, a DLR echo extraction method based on randomized Hough transform（RHT） is proposed. Considering the time correlating property of O-C residuals′adjacent echo, the effective echo extraction problem is transformed to the curve recognition of the image space.N pixels that determine a curve are randomly picked and they are mapped into one point in the parameter space.The parameter score accumulation strategy is used for curve recognition in the parameter space, which extracts the effective echo. The processing of DLR data of Yunnan Observatory shows that this method can extract echo signal on the approximated curve effectively with high speed, small storage and low misdetection rate. And it provides a new thought for fast and automatic DLR echo extraction.
出处
《中国激光》
EI
CAS
CSCD
北大核心
2016年第4期169-179,共11页
Chinese Journal of Lasers
基金
国家重大科研装备研制项目(ZDYZ2013-2)
关键词
测量
有效回波提取
随机HOUGH变换
空间碎片
激光测距
曲线辨识
measurement
effective echo extraction
randomized Hough transform
space debris
laser ranging
curve recognition
