DocumentCode :
74826
Title :
InSAR Local Co-Registration Method Assisted by Shape-From-Shading
Author :
Natsuaki, Ryo ; Hirose, Akira
Author_Institution :
Dept. of Electr. Eng. & Inf. Syst., Univ. of Tokyo, Tokyo, Japan
Volume :
6
Issue :
2
fYear :
2013
fDate :
Apr-13
Firstpage :
953
Lastpage :
959
Abstract :
Interferometric synthetic aperture radar (InSAR) is a useful technology to observe the earth topography. However, a synthetic aperture radar (SAR) interferogram usually includes a lot of rotational points, that is, singular points (SPs). SPs seriously affect the quality of generated digital elevation model (DEM). One of the dominant origins of the SPs is the local distortion in the co-registration of the master and slave images, which are the source of the interferogram. Previously, we proposed a local and fine co-registration method of the master and the slave using the number of SPs as the evaluation criterion (SPEC method). In this paper, we propose an improved version of the SPEC method which uses the shape-from-shading technique additionally for a better adjustment. In comparison to the conventional SPEC method, results indicate that the proposed technique improves the signal-to-noise ratio of the created DEM from InSAR images.
Keywords :
digital elevation models; geophysical image processing; geophysical techniques; image registration; radar interferometry; remote sensing by radar; synthetic aperture radar; topography (Earth); Earth topography; InSAR images; InSAR local co-registration method; SAR interferogram; SPEC method; co-registration method; digital elevation model; generated DEM quality; interferometric synthetic aperture radar; master image; shape-from-shading technique; signal-to-noise ratio; slave image; Earth; Estimation; Image resolution; Remote sensing; Signal to noise ratio; Synthetic aperture radar; Correlation; interferometric synthetic aperture radar (InSAR); shape-from-shading (SFS); singular point (SP);
fLanguage :
English
Journal_Title :
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Publisher :
ieee
ISSN :
1939-1404
Type :
jour
DOI :
10.1109/JSTARS.2012.2219506
Filename :
6361249
Link To Document :
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