摘要
增强SAR图像的目标特征对自动目标识别等具有重要意义。该文改进了一种基于lk范数正则化方法,并用于SAR图像目标特征增强。该方法通过开发利用符合SAR图像统计特性的先验知识,构造附加约束,把图像目标特征增强问题规划为形式简单的最优化问题,并利用一种迭代算法进行快速求解。仿真和实测数据计算结果证实了该方法的有效性。
Target feature-enhanced processing of SAR image is meaningful to SAR ATR. One regularization method based on lk norm used for target feature-enhanced of SAR image is discussed in this paper. This method exploits the useful prior information which is well consistent to the statistically property of SAR image, makes up the additional constraint condition, turns the problem of target feature-enhanced processing of SAR image into the simple-formed optimization problem. A fast iterative algorithm is proposed to solve the optimization problem. The Simulation results and computational results of measured data prove its validity.
出处
《电子与信息学报》
EI
CSCD
北大核心
2006年第9期1594-1597,共4页
Journal of Electronics & Information Technology
基金
国家自然科学基金(60272013)
2001年全国优秀博士论文作者专项基金项目(200140)资助课题