基于几何散列法的ISAR像自动目标识别  

Automatic target recognition of ISAR images based on geometric hash

作　　者：唐宁[1] 高勋章[1] 黎湘[1] 

机构地区：[1]国防科学技术大学电子科学与工程学院空间电子信息技术研究所,湖南长沙410073

出　　处：《系统工程与电子技术》2012年第4期692-697,共6页Systems Engineering and Electronics

摘　　要：逆合成孔径雷达(inverse synthetic aperture radar,ISAR)像不同于一般光学像,通常表现为随视角变化的稀疏散射中心分布,且存在干扰或遮挡现象,这使ISAR目标识别存在很多困难。针对上述问题,提出一种基于几何散列法的ISAR像识别方法。首先获取能反映目标结构信息的特征点;然后利用特征点之间的几何关系构造仿射坐标,获取目标的仿射不变量,以解决目标成像视角变化引起的图像平移、旋转和尺度变化等问题;最后针对姿态敏感性、干扰或遮挡导致的散射点位置和强度的变化问题,采用具有良好的抗干扰和局部识别性能的几何散列法来完成识别。仿真实验表明,该方法能够有效区分不同结构的目标,且对干扰或遮挡现象具有良好的局部识别性能。Inverse synthetic aperture radar（ISAR） images,different from the optical images and consisting of many sparse scatterers,usually vary with different view angles and suffer jamming and shelter,which make ISAR targets classification difficult.An available recognition method based on geometric hash is presented.The approach extracts key points which reflect the structure of ISAR targets at first,then constructs affine coordinates and obtains the affine-invariance features to solve the variation problem of translation,rotation and scale.Finally,geometric hash is applied as the final classifier,which performs excellently in anti-jamming and local recognition,to solve the problem of location and intensity variation of scatterers due to pose alternation,jamming and shelter.Experimental results show that the proposed method is quite effective in distinguishing targets with different structures and performs well in local recognition.

关 键 词：逆合成孔径雷达 特征点 仿射变换 几何散列法 目标识别 

分 类 号：TN957.52[电子电信—信号与信息处理]