The Research of Autofocus Optimization Algorithm Based on Contrast Optimization Criterion

DENG Yun-kai; WANG Yu; YANG Xian-lin; ZHANG Zhi-min

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The Research of Autofocus Optimization Algorithm Based on Contrast Optimization Criterion

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- The Research of Autofocus Optimization Algorithm Based on Contrast Optimization Criterion
- Acta Electronica Sinica Vol. 34, Issue 9, Pages: 1742-1744(2006)
- 作者机构：
  
  1. 中国科学院电子学研究所,北京,100080
  2. 中国科学院研究生院,北京,100039
  3. 中国科学院电子学研究所北京,100080
  4. 中国科学院研究生院北京,100039
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP957
- Published Online：25 September 2006，
  
  Published：2006
- 稿件说明：
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DENG Yun-kai, WANG Yu, YANG Xian-lin, et al. The Research of Autofocus Optimization Algorithm Based on Contrast Optimization Criterion[J]. Acta Electronica Sinica, 2006, 34(9): 1742-1744.
DOI：

DENG Yun-kai, WANG Yu, YANG Xian-lin, et al. The Research of Autofocus Optimization Algorithm Based on Contrast Optimization Criterion[J]. Acta Electronica Sinica, 2006, 34(9): 1742-1744. DOI：

摘要

对比度最优自聚焦算法是一种基于图像幅度的自聚焦方法.本文将对比度最优自聚焦算法等效为一个求解局部最优解的优化模型.结合实际SAR(Synthetic Aperture Radar)系统的特征采用了两种解决此优化问题的算法:黄金分割和Fibonacci级数法

和传统方法相比

这两种优化方法明显提高了对比度最优自聚焦算法的运算效率.

Abstract

The Contrast optimization algorithm is a magnitude-based autofocus algorithm.The contrast optimization algorithm is described as an optimization model via which the local optimal solution can be achieved.Two optimization methods

Golden section and Fibonacci series

are employed to deal with this optimization model according to features of practical SAR(Synthetic Aperture Radar) systems.Efficiency of the contrast optimization algorithm is greatly improved compared with the quondam methods due to the application of the model and the two methods which are mentioned above.

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