DocumentCode :
814163
Title :
Matching map features to synthetic aperture radar (SAR) images using template matching
Author :
Caves, Ronald G. ; Harley, Peter J. ; Quegan, Shaun
Author_Institution :
Dept. of Appl. & Comput. Math., Sheffield Univ., UK
Volume :
30
Issue :
4
fYear :
1992
fDate :
7/1/1992 12:00:00 AM
Firstpage :
680
Lastpage :
685
Abstract :
The feasibility of matching templates representing map features to features in synthetic aperture radar images is investigated. The performance of template matching using cross-correlation (which has no knowledge of speckle) is compared with a correlation measure, based on a Kolmogorov-Smirnov test of fit, which does take speckle into consideration. This is shown to perform better than cross-correlation in simulated images. However, neither method performs well on real data. This is due to the exponential speckle model being inappropriate for linear features in real data. Alternative methods for matching map features to SAR images are suggested
Keywords :
geophysical techniques; image processing; microwave imaging; remote sensing by radar; synthetic aperture radar; Kolmogorov-Smirnov test of fit; SAR; cross-correlation; exponential speckle model; geophysics; land surface; map features; measurement; radar image analysis; remote sensing; synthetic aperture radar; technique; template matching; Computational modeling; Computer vision; Pixel; Position measurement; Radar imaging; Radar measurements; Shape measurement; Speckle; Synthetic aperture radar; Testing;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/36.158861
Filename :
158861
Link To Document :
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