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
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