%0 Journal Article
%T Netted Radar Data Enhancement Based on Detail Entropy Minimization<br>基于最小细节熵准则的雷达网信号增强
%A Wu Chang-ying
%A Gu Wen-tao
%A Xu Jia-dong
%A <br>吴昌英
%A 谷文韬
%A 许家栋
%J 电子与信息学报
%D 2006
%I 
%X Detail entropy is proposed which can indicate the image clarity much accurately in the case of that image has slowly changed part. A technique based on detail entropy minimization principle is developed for fusing netted radar data. For complex radar target, the weights are calculated iteratively. But in consider of real-time requirement, the weights are gotten by neural network alternatively.
%K Entropy
%K Neural network
%K Netted radar
%K Fusion
%K SNR<br>熵
%K 神经网络
%K 雷达网
%K 融合
%K 信噪比
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=11DFE3C0FA1DCACB&yid=37904DC365DD7266&vid=D3E34374A0D77D7F&iid=38B194292C032A66&sid=DDDA4F26E8AD3C0E&eid=CEFA535D01173730&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=9