DocumentCode
2204550
Title
A method of acquiring tie points based on closed regions in SAR images
Author
Xiong, Boli ; He, Zhiguo ; Hu, Canbin ; Chen, Qi ; Jiang, Yongmei ; Kuang, Gangyao
Author_Institution
Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
fYear
2012
fDate
22-27 July 2012
Firstpage
2121
Lastpage
2124
Abstract
This paper presents a method in finding tie points automatically in synthetic aperture radar (SAR) image pairs based on the extracted closed regions. There are mainly three steps during this process. The first step is to extract the closed regions in the SAR image with an image segmentation approach deducted by the geodesic active contour (GAC) model. Then, a polygonal approximation process is adopted to locate the feature points on the boundaries of these regions. With the obtained feature points, geometric hashing theory is employed to match these feature points as the tie points. A pair of simulated SAR images and a pair of high-resolution airborne SAR images are used to test and evaluate the proposed method. The experimental results show that the proposed method is effective and appropriate for the acquisitions of tie points in SAR image pairs.
Keywords
airborne radar; data acquisition; feature extraction; geophysical image processing; geophysical techniques; image resolution; radar imaging; remote sensing by radar; synthetic aperture radar; closed regions; feature points; geodesic active contour model; geometric hashing theory; high-resolution airborne SAR images; image segmentation approach; polygonal approximation process; synthetic aperture radar image; tie point acquisitions; tie point method; Active contours; Approximation methods; Feature extraction; Image edge detection; Image registration; Level set; Synthetic aperture radar; Closed region extraction; GAC model; Geometric hashing; Image registration; Polygonal approximation; SAR;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6351086
Filename
6351086
Link To Document