摘要
针对SAR图像对于目标姿态角的高度敏感性问题,提出一种多视角SAR图像的静态建模方法,该方法将来自多个视角的图像集成到一个综合的数据结构中,并且进行重新排列组织,使该数据结构与目标散射中心有关而与角度无关。探讨了这种静态建模方法的原理、建模过程,分析了静态模型在SAR图像显示方面的优势。与传统的角度图像集合相比,这种建模方法在显示和分类方面都有其优越性。
Aiming to solve the problem of SAR images＇ highly sensitivity to target aspects, a static modeling method for multiaspect SAR images was proposed. The method integrated images from multiple aspects into a composite data structure. The data structure was reorganized so as to be function of target scatter centers, not of aspects. The principle and process of this static modeling method were discussed, and its advantage in SAR image displaying was analyzed. Compared with traditional aspect image aggregate, the method has many advantages in displaying and classification of SAR image.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2010年第2期506-509,共4页
Journal of System Simulation
基金
"十一五"国防预研基金资助项目(10103060103)
国家863项目(2007AA012309)
关键词
SAR图像
目标识别
多视角
静态建模
SAR image
target recognition
multi-aspect
static modeling
