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.
Autofocusing of ISAR images based on entropy minimization
IEEE Transactions on Aerospace and Electronic Systems ; 35 , 4 ; 1240-1252
1999-10-01
1023895 byte
Article (Journal)
Electronic Resource
English
Autofocusing of ISAR images based on entropy minimization
Tema Archive | 1999
|PAPERS - Autofocusing of ISAR Images Based on Entropy Minimization
Online Contents | 1999
|CORRESPONDENCE - Errata: Autofocusing of ISAR Images Based on Entropy Minimization
Online Contents | 2000
|