DocumentCode :
21949
Title :
Extraction of interest points by Harris interest operator for synthetic aperture radar image coregistration
Author :
Weibao Zou ; Zhilin Li
Author_Institution :
State Key Lab. of Astronaut. Dynamics, Chang´an Univ., Xian, China
Volume :
7
Issue :
5
fYear :
2013
fDate :
Jul-13
Firstpage :
500
Lastpage :
513
Abstract :
In image coregistration of synthetic aperture radar (SAR) interferometry, a set of points is selected for tie point matching. Generally, some special points are possibly selected as tie points to improve the reliability of coregistration. However, special points cannot always be found in an image. Therefore points in grid form are commonly selected for image coregistration and this makes the results not as reliable as special points do. In this study, hence, a series of points detected by Harris interest operator (HIO) are used as tie points for SAR image coregistration. After wavelet decomposition of a SAR image, the basic energy is reserved in the low-pass subimage and this benefits the extraction of interest points conducted by HIO on the highest level. Three pairs of SAR image in Hong Kong area are used to prove the efficiency of the proposed method. For comparison, image coregistration based on grid points and interest points are implemented, respectively, in which different numbers of points are adopted. Based on the analysis of experimental results, it is found that the quality of interferogram is greatly improved by interest points and coregistration with interest points is more reliable.
Keywords :
feature extraction; image matching; image registration; mean square error methods; radar imaging; synthetic aperture radar; wavelet transforms; HIO; Harris interest operator; Hong Kong area; SAR image coregistration; SAR interferometry; coherence image; coregistration reliability; grid points; interest point extraction; interferogram quality; point matching; root-mean-square-error; sum of phase differences; synthetic aperture radar image coregistration; wavelet decomposition;
fLanguage :
English
Journal_Title :
Image Processing, IET
Publisher :
iet
ISSN :
1751-9659
Type :
jour
DOI :
10.1049/iet-ipr.2012.0642
Filename :
6606952
Link To Document :
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