NDLI: A SAR Autofocus Technique With MUSIC and Golden Section Search for Range Bins With Multiple Point Scatterers

Content Provider	IEEE Xplore Digital Library
Author	Boyeon Koh Sanghyouk Choi Joohwan Chun
Copyright Year	2004
Abstract	Many synthetic aperture radar (SAR) autofocus techniques use range bins containing a single dominant point scatterer to estimate the phase error by maximizing or minimizing an objective function. We analytically show that some widely used objective functions do not give accurate phase error estimates if the objective function is constructed using a range bin containing multiple strong point scatterers (SPSs). Multiple SPSs are often observed in the range bins extracted from SAR images of urban areas containing many bright man-made objects. Such multiple SPSs do not allow us to obtain accurate estimates due to the interference between SPSs. To overcome this multiple scatterer problem, we propose the use of a combined entropy objective function with the local magnitudes of SPSs, along with the multiple-signal classification algorithm. Our experiment with actual SAR data confirms the superiority of the proposed approach.
Sponsorship	IEEE Geoscience and Remote Sensing Society
Starting Page	1600
Ending Page	1604
Page Count	5
File Size	740614
File Format	PDF
ISSN	1545598X
Volume Number	12
Issue Number	8
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Entropy Linear programming Synthetic aperture radar Multiple signal classification Estimation Phase estimation Eigenvalues and eigenfunctions synthetic aperture radar (SAR) Autofocus multiple scatterers range bin
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Geotechnical Engineering and Engineering Geology

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