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Autofocusing of inverse synthetic aperture radar images using contrast optimization
A number of autofocusing techniques are proposed for motion compensation in inverse synthetic aperture radar (ISAR) imaging of objects. These techniques are based on the optimization of a contrast function, which represents a measure of the degree of focus of the image. Three novel image contrast fu...
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Published in: | IEEE transactions on aerospace and electronic systems 1996-07, Vol.32 (3), p.1185-1191 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | A number of autofocusing techniques are proposed for motion compensation in inverse synthetic aperture radar (ISAR) imaging of objects. These techniques are based on the optimization of a contrast function, which represents a measure of the degree of focus of the image. Three novel image contrast functions are defined and the main steps of the autofocusing algorithm are described. A comparison of the behavior of the proposed techniques is performed analyzing some results obtained from simulation of realistic targets. |
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ISSN: | 0018-9251 1557-9603 |
DOI: | 10.1109/7.532282 |