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Autofocusing of ISAR images based on entropy minimization

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3 Author(s)
Li Xi ; Electro-Photon Inst., Nanjing Univ. of Sci. & Technol., China ; Liu Guosui ; Ni, JinLin

A novel autofocusing technique is developed for random translational motion compensation in inverse synthetic aperture radar (ISAR) imaging of objects. This technique is based on an entropy minimization principle and validated via a nonparametric estimation method. Images of a simulation and a real flying aircraft are used for illustration. Images of encouraging quality confirm the feasibility of autofocusing the radar images by just the requirement of minimizing the image entropy

Published in:

Aerospace and Electronic Systems, IEEE Transactions on  (Volume:35 ,  Issue: 4 )

Date of Publication:

Oct 1999

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