基于综合孔径辐射计稀疏阵列非均匀采样图像的快速重建
孙逢林 ; 张升伟
刊名电子与信息学报
2013
卷号35期号:4页码:927-932
关键词稀疏阵列 非均匀快速傅里叶变换 最小最大准则 共轭梯度迭代算法
ISSN号1009-5896
通讯作者北京8701信箱
中文摘要某些分时采样干涉式微波辐射计成像系统,通常采用稀疏阵列,如圆环稀疏阵列。由于天线阵列优化设计时天线排布位置受限以及天线物理尺寸等限制,具有非均匀空间频域采样的特点。传统的图像重构方法是将非均匀空间频域点插值到均匀的笛卡尔坐标下,补偿空间频率密度,再进行逆快速傅里叶变换。这些插值方法不可避免地会引入误差或者混叠,并且是以假设空间频域的光滑性为前提的,具有局限性。与传统的插值方法不同的是,该文采用最小最大优化准则,先假设图像,再进行共轭梯度迭代快速非均匀傅里叶变换匹配的算法,绕开了空间频域光滑的假设。模拟实验结果表明此算法能够更加快速精确地重建图像。
英文摘要Some thinned array, such as circle thinned array, is used by synthetic aperture interferometric radiometer to realize time-shared sampling. The thinned array may take non-uniform sampling of spatial frequencies due to antenna array structure optimization, the limitation of affined area and the physical size of antenna elements as well. In some traditional image reconstruction methods, non-uniform spatial frequency samplings are usually inserted to uniform Cartesian coordinate. And the spatial frequency densities are compensated. However, as the spatial sampling intensity is assumed to be quite smooth, these methods still bring errors and blurring in spite of different interpolation functions. Moreover, iterative methods that adopted straight Fourier transform are time consuming as they applied to non-uniform spatial frequency samplings. In this paper, another fast interactive image reconstruction method is introduced. The kernel of this algorithm is min-max formulation. The specific procedure of this method is as follows: (1)initiating the image; (2)taking non-uniform fast Fourier transform; (3)operating iterative conjugate gradient matched algorithm. The numerical simulating experiments show that, as spatial frequency samplings density is not smooth, the image can be still reestablished fast and accurately.
学科主题微波遥感
资助信息国家863计划项目(2007AA120701)资助课题
语种中文
内容类型期刊论文
源URL[http://ir.cssar.ac.cn/handle/122/2065]  
专题国家空间科学中心_微波遥感部
推荐引用方式
GB/T 7714
孙逢林,张升伟. 基于综合孔径辐射计稀疏阵列非均匀采样图像的快速重建[J]. 电子与信息学报,2013,35(4):927-932.
APA 孙逢林,&张升伟.(2013).基于综合孔径辐射计稀疏阵列非均匀采样图像的快速重建.电子与信息学报,35(4),927-932.
MLA 孙逢林,et al."基于综合孔径辐射计稀疏阵列非均匀采样图像的快速重建".电子与信息学报 35.4(2013):927-932.
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