%0 Journal Article
%T Application of Scale Invariant Feature Transformation to SAR Imagery Registration<br>尺度不变特征变换法在SAR影像匹配中的应用
%A CHEN Er-Xue
%A LI Zeng-Yuan
%A TIAN Xin
%A LI Shi-Ming
%A <br>陈尔学
%A 李增元
%A 田昕
%A 李世明
%J 自动化学报
%D 2008
%I 
%X Some experiments were designed to systematically assess the applicability of the scale invariant feature trans- formation (SIFT) to synthetic aperture radar (SAR) image registration.The experiments showed that the SIFT can accurately register slant range to slant range,slant range to ground range and ground range to ellipsoid geo-coded SAR images,provided that all the multi-temporal images are acquired in the same ascending or descending orbit.A subset pro- cessing based method was suggested to adapt SIFT to the registration of remote sensing images.The experiment showed that although the total number of feature points detected through image subset processing decreases,the feature point repeating rate is still higher than 76 % and can meet the need of the registration of two big images.However,the huge time required for matching was shown to be the major technic bottleneck prohibiting its application to remote sensing. Some possible solutions to this problem were pointed out,and the future applications of invariant feature matching to remote sensing field were suggested.
%K Scale invariant feature transformation (SIFT)
%K feature point matching
%K image registration
%K synthetic aperture radar (SAR)<br>尺度不变特征变换法
%K 特征点匹配
%K 影像配准
%K 合成孔径雷达
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=746942E0320419E6C1CC0E5C1575C37D&yid=67289AFF6305E306&vid=339D79302DF62549&iid=5D311CA918CA9A03&sid=0B757E9DCA0EC579&eid=B84F2E0A99FDC89A&journal_id=0254-4156&journal_name=自动化学报&referenced_num=2&reference_num=11