Constriction of Mutual Information Based Matching-Suitable Features for SAR Image Aided Navigation

Mutual information based matching-suitable features are studied in this paper, for the selection of good matching areas with high success probability in SAR matching aided navigation system. Based on the analysis of SAR imaging and multi-source matching, four feature constructing guide lines are proposed first. Then ten candidate features are designed under mutual information measurement. Effectiveness of these features is tested and compared through experiments under real SAR data. And features, such as reference image complexity and absolute value roughness et.al., which show stable monotony and good convergence, can be use as good matching-suitable features in practices.