DocumentCode
410353
Title
A new image registration method for multi-frequency airborne high-resolution SAR images
Author
Hong, Zhang ; Chao, Wang ; Yixian, Tang ; Zhi, Liu
Author_Institution
Dept. of Resources & Environ. Sci., Beijing Normal Univ., China
Volume
1
fYear
2003
fDate
21-25 July 2003
Firstpage
167
Abstract
High resolution airborne synthetic aperture radar (SAR) is useful for surveillance and remote sensing applications. The higher resolution leads to more speckle ad well as a need for more accurate pixel-level registration. Also, the curvature of the Earth needs not to be taken into account while registering two images because the swath of terrain being imaged in an airborne SAR is small. This article describes a new technique for registering multi-frequency airborne high-resolution SAR images. The image registration is set forth based on the fundamental principle of relaxation method, which uses image segment comprising of the relaxation registration results of point feature as global control. In order to guarantee the accuracy and reliability of image registration, line moment of edge feature is first used as match units to develop the traditional relaxation method. Airborne SAR images in Ku-band and X-band are used to test the new image registration method. Experimental results show that the proposed method outperforms standard image registration techniques in terms of reliability and rapidity in most cases. It also achieves better performance than wavelet pyramid method.
Keywords
airborne radar; image matching; image registration; radar imaging; synthetic aperture radar; terrain mapping; Ku-band; X-band; airborne SAR images; global control; high-resolution SAR images; image registration method; image segment; line moment; multifrequency SAR images; pixel-level registration; relaxation method; remote sensing applications; surveillance applications; synthetic aperture radar; wavelet pyramid method; Earth; Image edge detection; Image registration; Image sensors; Noise reduction; Relaxation methods; Remote sensing; Speckle; Surveillance; Synthetic aperture radar;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN
0-7803-7929-2
Type
conf
DOI
10.1109/IGARSS.2003.1293712
Filename
1293712
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