Paper
10 June 1996 Selective motion compensation in ISAR imagery using time-frequency filtering
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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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gabriel Thomas, Sergio D. Cabrera, and Benjamin C. Flores "Selective motion compensation in ISAR imagery using time-frequency filtering", Proc. SPIE 2757, Algorithms for Synthetic Aperture Radar Imagery III, (10 June 1996); https://doi.org/10.1117/12.242034
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image filtering

Fourier transforms

Time-frequency analysis

Resolution enhancement technologies

Electronic filtering

Data modeling

Image processing

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