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Proceedings Paper

Selective motion compensation in ISAR imagery using time-frequency filtering
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Paper Abstract

Several methods have been proposed for motion parameter estimation and motion compensation in SAR/ISAR images. Some of the methods work using the information from a prominent scatterer and may require that it be well isolated. In order to extract part of an image for selective motion compensation, a filtering process must take place and in this paper, we propose to filter the range profile information. We apply and extend some concepts and techniques from time-frequency analysis to range profile formation and processing. In particular, we use time-varying filtering to accomplish our goal of selecting and separately processing a component of the image information that represents an object with different motion than other parts of the image. We also consider the option of using a superresolution method that enhances the resolution of the short-time Fourier transform to improve the accuracy of the filtering process. The system that is considered for simulations is a stepped-frequency ISAR. Even though our application is motion compensation, this paper also serves to apply and improve time-frequency processing techniques for use in SAR/ISAR imaging.

Paper Details

Date Published: 10 June 1996
PDF: 11 pages
Proc. SPIE 2757, Algorithms for Synthetic Aperture Radar Imagery III, (10 June 1996); doi: 10.1117/12.242034
Show Author Affiliations
Gabriel Thomas, Univ. of Texas/El Paso (United States)
Sergio D. Cabrera, Univ. of Texas/El Paso (United States)
Benjamin C. Flores, Univ. of Texas/El Paso (United States)

Published in SPIE Proceedings Vol. 2757:
Algorithms for Synthetic Aperture Radar Imagery III
Edmund G. Zelnio; Robert J. Douglass, Editor(s)

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