%0 Journal Article
%T Estimation of CBERS-1 Point Spread Function and Image Restoration<br>CBERS-1 PSF估计与图像复原
%A LIU Zheng jun
%A WANG Chang yao
%A LUO Cheng feng
%A <br>刘正军
%A 王长耀
%A 骆成凤
%J 遥感学报
%D 2004
%I 
%X The integrating effect of the Point Spread Function (PSF) of a satellite remote sensing system significantly blurred the acquired image and reduced the spatial resolution of the data. This paper firstly analyzed the main factors which result in the image blur. We then discussed the derivative of Linear Spread Function (LSF) by the use of linear step structures that are recorded in the image. The PSF of an image can be approximated by interpolating two linearly separable orthogonal LSFs. Deconvolution filters are derived specifically for each image from its PSF using a Weiner filter in the frequency domain and applying an invert Fourier transform to convert into space domain. The use of Wiener filter could guarantee the achievement of the cleared image while reducing the noise influence. Finally, the deconvolution filters were applied in the 3rd channel of a full scene CBERS 1 image so that it can restore the original signal.A significant improvement of the image quality was achieved.
%K point spread function(PSF)
%K image restoration
%K CBERS-1<br>点扩散函数
%K 图像复原
%K 中巴资源卫星一号
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=A41A70F4AB56AB1B&jid=F926358B31AC94511E4382C083F7683C&aid=00DDDAA929CD0D52&yid=D0E58B75BFD8E51C&vid=5D311CA918CA9A03&iid=38B194292C032A66&sid=D9AE183D3F5C3C75&eid=9CA95D22FC1D537C&journal_id=1007-4619&journal_name=遥感学报&referenced_num=15&reference_num=8