%0 Journal Article
%T The Windowed Back Pro Jection Imaging Method for Interferometric Radiometer<br>基于加窗反投影的干涉式微波辐射计成像算法
%A Zhang Cheng Wu Ji
%A <br>张成
%A 吴季
%J 电子与信息学报
%D 2008
%I 
%X This paper investigats the imaging theory of the Rotate Scanning Synthetic Aperture Interferometric Radiometer (RS-SAIR) which has a non-Cartesian sampling scheme, and proposes a new imaging algorithm based on windowing back projection. The critical feature of this algorithm is that it takes back projection as the main imaging tool instead of 2-D Cartesian grid Fourier transform, and it involves only 1-D tapered FFT and back projection, which avoids the interpolations from polar sampling grids to Cartesian grids, and could perform imaging and sampling simultaneously, then it leads to a more accurate and fast imaging performance. Being a critical step the windowing effect is analyzed, and different window function is test to show the spatial resolution and noise control of the reconstructed image. Further more, the sampling is analyzed and a rational strategy is achieved. Finally, the imaging of a 2-D scene with a RS-SAIR system is simulated. The comparison of the parameters in the mean square errors and cross correlation coefficient with various methods indicates that the proposed new algorithm is superior to other Cartesian FFT based methods.
%K Synthetic aperture
%K Interferometric passive microwave imaging
%K Projection transform
%K Windowed back projection<br>综合孔径
%K 干涉被动微波成像
%K 投影变换
%K 加窗反投影
%K 加窗
%K 反投影
%K 干涉式
%K 微波辐射计
%K 成像算法
%K Radiometer
%K Method
%K Imaging
%K 验证
%K 比较
%K 影响
%K 分辨率
%K 噪声抑制
%K 窗函数
%K 数值模拟
%K 应用
%K 平衡关系
%K 基线
%K 分析
%K 采样策略
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=FFA941079A70BC99517CF50DB174E435&yid=67289AFF6305E306&vid=340AC2BF8E7AB4FD&iid=94C357A881DFC066&sid=941A3E905B9F2AD9&eid=0AFD076159674A31&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=14