基于几何特征的高分辨率SAR图像飞机目标解译方法  

Geometrical features-based method for aircraft target interpretation in high-resolution SAR images

作　　者：高君[1,2] 高鑫[1] 孙显[1] 

机构地区：[1]中国科学院电子学研究所,北京100190 [2]中国科学院大学电子电气与通信工程学院,北京100049

出　　处：《国外电子测量技术》2015年第8期21-28,共8页Foreign Electronic Measurement Technology

基　　金：高分辨率对地观测青年基金(GFZX04060103-5-17)资助项目

摘　　要：针对高分辨率SAR(synthetic aperture radar)图像特性,提出了一种基于几何特征的飞机目标解译方法。首先,局部自相似性及DBSCAN(density-based spatial clustering of application with noise)算法用于提取感兴趣的目标区域;其次,机翼和机身形成的"T"型结构采用霍夫变换进行提取;最后,结合基于水平集的精细部件分割和共线性、对称性等先验知识,飞机目标的发动机和机头等部件得以提取。得到飞机目标的关键几何参数以用于目标识别和解译。基于miniSAR图像的实验验证了方法的实用性和有效性。A new method based on geometrical features is proposed for aircraft target interpretation to make full use of the characteristics of high-resolution SAR（synthetic aperture radar）images.Our method consists of three steps.First,the local self-similarity and DBSCAN（density-based spatial clustering of application with noise）algorithm are used to extract the ROI（region of interest）.Second,the geometrical structure,especially the ＂T＂shape consisting of the aircraft＇s swings and fuselage,is extracted based on Hough transform.Third,fine components segmentation based on level set and prior knowledge such as collinearity and symmetry are combined together to identify the components of the target such as the engines and the prow of the aircraft.We get the key parameters of the aircraft from above steps for target recognition and interpretation.The experiments based on the images from miniSAR demonstrate that our method is effective in high-resolution SAR images.

关 键 词：SAR飞机解译 几何特征 水平集分割 霍夫变换 

分 类 号：TP753[自动化与计算机技术—检测技术与自动化装置]