一种基于最大全变差准则的SAR图像自聚焦算法

Abstract

Abstract: A novel autofocus algorithm for synthetic aperture radar (SAR) images is presented based on total variation. The method, which starts with a complex phase-degraded SAR image, after a phase errors model is introduced into the range-compressed phase-history domain, carries out phase errors correction by changing the focus until the total variation of the azimuth profile is maximized. Compared with the minimum entropy autofocus algorithm, this autofocus algorithm is of less computational complexity and easy to implement. The simulation and processing results of the measured data show the validity of the proposed method.

Key words: synthetic aperture radar, total variation, autofocus, phase errors

CLC Number:

TN957

MA Lun;LIAO Gui-sheng.

A novel autofocus algorithm based on maximum total variation criteria for SAR image

[J].J4, 2006, 33(2): 169-172.

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A novel autofocus algorithm based on maximum total variation criteria for SAR image

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