NDLI: Estimation of rotation in ISAR imaging based on local sharpness measure

Content Provider	IEEE Xplore Digital Library
Author	Berger, T. Hamran, S.E. Sparr, T.
Copyright Year	2008
Description	Author affiliation: FFI, Kjeller (Berger, T.; Hamran, S.E.; Sparr, T.)
Abstract	The geometry of inverse synthetic aperture radar (ISAR) imaging suggests in principle a tomographic approach to the reconstruction of a 2D projection of an object illuminated by a radar signal. In theory this is straight forward, but the computational load of such reconstructions have in stead led to the use of fast Fourier transforms (FFTs) on a Cartesian grid. Using FFTs directly in ISAR imaging requires a small rotational motion to avoid blurring and defocusing. Alternatively, interpolation and polar reformatting can be applied prior to the reconstruction step. Also, time-frequency methods have been proposed to reduce the effects of blurring and defocusing of the reconstructed ISAR images. By applying tomographic reconstruction, the polar reformatting is the last stage of the ISAR imaging process, meaning that phase problems involved in interpolating complex data points are reduced. The objectives of this paper are; 1) To propose a method for estimating the rotational motion of an object based on maximizing the sharpness of a small region of the reconstructed image, and 2) To describe an efficient implementation of a tomographic ISAR image reconstruction in the case of non uniform rotation.
Starting Page	1
Ending Page	6
File Size	440516
Page Count	6
File Format	PDF
ISBN	9781424415380
ISSN	10975659
DOI	10.1109/RADAR.2008.4721025
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-26
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Rotation measurement Image reconstruction Tomography Flexible printed circuits Geometry Inverse synthetic aperture radar Radar imaging Synthetic aperture radar Grid computing Fast Fourier transforms sharpness ISAR tomography
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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