%0 Journal Article
%T An Algorithm of Vehicle Target Discrimination in SAR Imagery with Lacunarity Feature<br>一种基于间隙度特征的SAR图像车辆目标鉴别算法
%A Wang Shi-xi
%A Li Yu
%A Liu Jun
%A Ji Ke-feng
%A Su Yi
%A <br>王世晞
%A 李禹
%A 刘军
%A 计科峰
%A 粟毅
%J 电子与信息学报
%D 2008
%I 
%X A new algorithm which can use lacunarity feature to discriminate vehicle target from natural clutter in SAR imagery is developed in this paper. Firstly, the variation and irregularity of back-scattered intensity for vehicle target and natural terrain are analyzed, which are resulted from their different scattering centers with different spatial arrangement and other cases. The vehicle image presents more irregularity and largeness of gaps than natural terrain’s image. Based on fractal theory, the lacunarity feature is estimated to measure the difference and can be used to eliminate the natural clutter. And then, the real X band SAR image data are applied to validate the above algorithm, and the performance of this algorithm is good.
%K SAR imagery
%K Target discrimination
%K Scattering center
%K Fractal
%K Lacunarity<br>SAR图像
%K 目标鉴别
%K 散射中心
%K 分形
%K 间隙度
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=0AB885FF7F67279A6BE2C6BAD7BB81AB&yid=67289AFF6305E306&vid=340AC2BF8E7AB4FD&iid=5D311CA918CA9A03&sid=303847C4FBA3C86A&eid=2F67C4FDB50F86BC&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=1&reference_num=7