伪灰度双模板匹配的多波束数据拼接算法

摘要

针对原有的多波束水深数据拼接算法速度慢的问题,结合多波束水深数据与灰度图像性质相同的特点,提出了一种基于伪灰度双模板匹配的多波束数据拼接的算法.通过分析原有的灰度归一化匹配的算法,对原算法增加一个匹配模板.然后通过对多波束数据进行伪灰度化,应用所提算法对其进行处理,并在理论上分析和实际仿真上验证了新算法,最后在运行速度及精度等方面对所提算法进行了评价.试验结果表明,所提算法提高了程序的运行速度,更能满足多波束数据拼接的实时性要求.%Concerning the problem that the speed of former joining algorithm of multibeam water depth data is slow, and combined with the same character of multibeam water depth data and grey scale imaging, this paper proposed an algorithm of mutlibeam data joining based on false grey scale double-template matching. By analyzing the original gray normalized matching algorithm, the original algorithm was improved by adding another matching template, and the mutlibeam data was dealt with using the algorithm of a false grey scale and the newly proposed method. Finally , the new algorithm was verified in theory and by simulation, and its running speed and precision were evaluated. The simulation results show that the algorithm improves the speed of the program, which better meets the realtime requirements of multibeam data matching.