Title :
Autofocusing of ISAR images based on entropy minimization
Author :
Xi, Li ; Guosui, Liu ; Ni, JinLin
Author_Institution :
Electro-Photon Inst., Nanjing Univ. of Sci. & Technol., China
fDate :
10/1/1999 12:00:00 AM
Abstract :
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
Keywords :
aerospace computing; digital simulation; estimation theory; image processing; minimisation; minimum entropy methods; motion compensation; radar imaging; synthetic aperture radar; ISAR images; autofocusing; entropy minimization; feasibility; image entropy; inverse synthetic aperture radar; radar images; random translational motion compensation; real flying aircraft; simulation; Aerospace electronics; Cost function; Doppler radar; Entropy; Focusing; Image resolution; Inverse synthetic aperture radar; Motion compensation; Radar imaging; Signal resolution;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
