Sharpness-Based Autofocusing for Stripmap SAR Using an Adaptive-Order Polynomial Model

被引：42

作者：

Gao, Yang ^{[1
]}

Yu, Weidong ^{[1
]}

Liu, Yabo ^{[1
]}

Wang, Robert ^{[1
]}

Shi, Chenpeng ^{[2
]}

机构：

[1] Chinese Acad Sci, Inst Elect, Dept Space Microwave Remote Sensing Syst, Beijing 100190, Peoples R China

[2] Sichuan Police Coll, Dept Rd Traff Management, Luzhou 646000, Peoples R China

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2014年 / 11卷 / 06期

关键词：

Autofocus; conjugate gradient method (CGM); sharpness; synthetic aperture radar (SAR); MOTION COMPENSATION; PHASE CORRECTION; AIRBORNE SAR; GRADIENT;

D O I：

10.1109/LGRS.2013.2286410

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

A novel autofocusing technique is developed for image from stripmap-mode synthetic aperture radar (SAR) data. The approach is based on maximizing the image sharpness function that induces the solution to maximum-posterior estimation. In this letter, closed-form expressions are derived for the gradients of the sharpness function with respect to the coefficients of the polynomial expansion, which makes the use of conjugate gradient algorithm available. Additionally, we also design a modified adaptive-order searching strategy, and it helps to remarkably reduce the computational load while maintaining the accuracy. Real airborne SAR data experiments and comparisons demonstrate the validity and effectiveness of the proposed algorithm.

引用

页码：1086 / 1090

页数：5

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