A high time-efficiency multi-modal images matching scheme for navigation

Li Jie Fan, Xin Gao, Yan Fei Wang, Ying Yang, Zhuo Pan

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


In this paper, a new scheme based on multi-scale is presented to match multi-modal images, in the airborne autonomous navigation system. Pyramid structure is exploited, in the scheme from coarse to fine. In the coarsest scale, a stepwise elimination scheme is introduced, the Edge Dilatation Template (EDT) is presented and some methods are introduced to reduce the calculation. In the middle scales, Hausdorff Distance (HD) is exploited as similar measure. In the finest scale, mutual variance is exploited. Some methods are also introduced and deduced to speed up the calculation in other matching scales besides the finest scale. The results of the experiments indicate that the multi-scale method can achieve fast, precision matching between multi-modal images. It can be realized by hardware easily and helps to the engineering realization of image matching navigation system.
Original languageEnglish (US)
Pages (from-to)2876-2880
Number of pages5
JournalDianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology
Issue number12
StatePublished - Jan 1 2008
Externally publishedYes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2023-09-21

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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