Feature-enhanced synthetic aperture radar image formation based on nonquadratic regularization
Feature-enhanced synthetic aperture radar image formation based on nonquadratic regularization
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DOI：
10.1109/83.913596
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发表时间：
2001-04-01
影响因子：
10.6
通讯作者：
Karl, WC
中科院分区：
文献类型：
--
作者：
Çetin, M;Karl, WC
提出了一种增强特征的聚束模式合成孔径雷达（SAR）图像的形成方法。该方法是基于正则化重建的散射场相结合的SAR观测过程的层析成像模型与先验信息的性质的功能感兴趣。与传统的合成孔径雷达技术相比，我们提出的方法产生的图像具有更高的分辨率，降低旁瓣，减少斑点和碎片分割区域。我们的技术有效地处理了复值，随机相位的SAR反射率的本质，有效的和强大的数值解决方案是通过扩展的半二次正则化方法的复值SAR问题。我们证明了合成和真实的SAR场景的方法的性能。
We develop a method for the formation of spotlight-mode synthetic aperture radar (SAR) images with enhanced features. The approach is based on a regularized reconstruction of the scattering field which combines a tomographic model of the SAR observation process with prior information regarding the nature of the features of interest. Compared to conventional SAR techniques, the method we propose produces images with increased resolution, reduced sidelobes, reduced speckle and easier-to-segment regions. Our technique effectively deals with the complex-valued, random-phase nature of the underlying SAR reflectivities, Efficient and robust numerical solution is achieved through extensions of half-quadratic regularization methods to the complex-valued SAR problem. We demonstrate the performance of the method on synthetic and real SAR scenes.