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

Author

Bu, Yanlong ; Peng, Shuangchun ; Wang, Nan ; Peng, Hui ; Shen, Lincheng

Author_Institution

Coll. of Mechatron. & Autom., Nat. Univ. of Defense Technol., Changsha, China

Volume

1

fYear

2009

fDate

4-5 July 2009

Firstpage

386

Lastpage

390

Abstract

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.

Keywords

control engineering computing; feature extraction; image matching; navigation; synthetic aperture radar; SAR image aided navigation system; absolute value roughness; multisource matching; mutual information based matching suitable feature; mutual information measurement; reference image complexity; synthetic aperture radar image aided navigation system; Adaptive optics; Image analysis; Layout; Mutual information; Navigation; Optical scattering; Radar polarimetry; Speckle; Synthetic aperture radar; Testing; SAR matching; effectiveness measurement; matching-suitable features; mutual information based matching algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-0-7695-3682-8

Type

conf

DOI

10.1109/ESIAT.2009.404

Filename

5200144