重力场可匹配区域选择研究

Research on gravity suitable matching area segmentation

本文根据重力匹配辅助惯性导航需求,开展了重力场基准图的特征分析研究,提出了衡量可匹配性的特征指标体系,根据该指标体系建立了一个多通道的综合指标分布图,并引入了水平集理论,采用一种基于Mumford-Shah模型的全局化水平集的图像分割方法对重力场可匹配区域进行分割。通过重力匹配实验验证,结果表明,分割出的可匹配区域能达到提高匹配概率的作用。

Based on the needs of gravity matching aided inertial navigation, this article carried out the research on the analysis of the characteristics of gravity reference image. In order to meet the requirement of the gravity field matching characteristics and gravity matching areas, characteristic index system was proposed. A multi-channel index image was established based on this index system. A global level set method based on Mumford-Shah model was used for the suitable gravity matching areas segmentation. The experiment re- sult showed that the matching prohahility could be improved in the suitable matching area.