%0 Journal Article
%T HIDDEN MARKOV MODELS FOR MULTI-APERTURE SAR TARGET DETECTION<br>基于隐马尔可夫模型的多孔径SAR目标检测
%A Jiang Yongmei
%A Liang Diannong
%A <br>蒋咏梅
%A 梁甸农
%J 电子与信息学报
%D 2000
%I 
%X Foliage penetrating VHF/UHF Ultra-WideBand (UWB) SAR can image hidden man-made targets such as military vehicles with wide-angle and ultra-wideband to achieve high resolutions in both range and azimuth, which has great military application value. Exploiting several multi-aperture SAR images, HMMs for man-made object and foliage clutter are developed separately in the paper, which can be utilized in detecting targets effectively to realize the pre-screening process in a ATR system.
%K Synthetic aperture radar (SAR)
%K Multi-Aperture SAR (MASAR) image
%K Hidden Markov Model (HMM)
%K Target detection<br>合成孔径雷达(SAR)
%K 多孔径SAR(MASAR)成像
%K 隐马尔可夫模型(HMM)
%K 目标检测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=C253F2FD9B222709&yid=9806D0D4EAA9BED3&vid=BC12EA701C895178&iid=B31275AF3241DB2D&sid=CEA1F7DC6B978724&eid=BB44F42BE8AE7430&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=5