DocumentCode :
3157227
Title :
Data fusion of multi-beam sonar and side-scan sonar base on feature contour registration
Author :
Hao, Yanling ; Han, Qingnan
Author_Institution :
Coll. of Autom., Harbin Eng. Univ., Harbin, China
fYear :
2011
fDate :
16-18 April 2011
Firstpage :
174
Lastpage :
177
Abstract :
This paper proposed a same-name feature point registration method based on feature contour. By analyzing the map of multi-beam water depth false-gray image and side-scan sonar image, and adopting CANNY operator to extract contour line. Then select the turning points which cater the constraints as the feature points, and deal the feature points with quadratic polynomial algorithm to obtain the deformation model to realize image registration between the two. Finally, process the fusion result by wavelet decomposition and evaluate it by cross entropy algorithm. Data simulation shows that the result is reasonable and the method proposed in this paper is practicable.
Keywords :
entropy; feature extraction; image registration; sensor fusion; sonar; wavelet transforms; cross entropy algorithm; data fusion; feature contour registration; feature point registration method; image registration; multibeam sonar; multibeam water depth false-gray image; side-scan sonar image; wavelet decomposition; Deformable models; Feature extraction; Image resolution; Polynomials; Registers; Sonar measurements; Data Fusion; False-grey Image; Feature Contour; Multi-beam Sonar; Side-scan Sonar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location :
XianNing
Print_ISBN :
978-1-61284-458-9
Type :
conf
DOI :
10.1109/CECNET.2011.5768685
Filename :
5768685
Link To Document :
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