第18卷第3期 2010年3月
1004-924X(2010)03-0692-09
文章编号
光学精密工程
Optics and Precision Engineering
Vol. 18No.3 Mar.2010
面向SAR匹配辅助导航的景象区域适配性
卜彦龙，李洪俊，张国忠，沈林成，潘亮
（国防科学技术大学机电工程与自动化学院，潮南长沙410073）
摘要：对合成孔径雷达(SAR)景象匹配辅助组合导航的关键技术之-
-SAR景象区域适配性进行了分析。结合SAR
成像过程、组合导航过程及SAR图像的特点对SAR景象区域适配性间题进行了综合描述；围绕减小几何畸变和提高匹配概率两个目标析SAR景象区域适配性的影响要素，包括基本约束条件、适配性特征指标和预测函数构建等。在此基础上，以限制几何畸变，优化图像特征为原则构建了基于多目标遗传优化的SAR录象适配区选择模型。基于真实 SAR图像进行的实验表明，根据模型选出的最佳适配区匹配概率达到94%，验证了分析和建模的合理性。该结论可为选择高性能的SAR景象适配区提供参考。
关键调：合成孔径雷达；医配辅助导航；景象区域适配性；多目标遗传优化
中图分类号：V448.2;TN957.52
文献标识码：A
Area matching suitability for SAR-image
matching aided navigation
BU Yan-long,LI Hong-jun,ZHANG Guo-zhong,SHEN Lin-cheng,PAN Liang
(CollegeofMechatronics andAutomation，National Universityof
Defense Technology,Changsha 410073,China)
Abstract: Matching-area suitability for Synthetic Aperture Radar(SAR) images, one of the key tech nologies of scene matching aided navigation, was studied in this paper. The problem of SAR matc-hing-area suitability was described combined with SAR imaging process, integrated navigation course and SAR image characters. Then, for decreasing geometric distortion and improving matching proba-bility, several effect factors on matching-area suitability were analyzed, including constraint conditions in application, construction of feature criterions and predicting functions. Furthermore, a multi-objec tive genetic optimizing model based on SAR matching-area selection was proposed to decrease geomet ric distortion and optimize image features, Experimental result shows that the matching probability of the best matching area selected is 94%, which proves the rationality of the analysis and model. The proposed method can provide a reference for choosing good SAR matching areas.
Key words: Synthetic Aperture Radar(SAR) ;image matching aided navigation; matching-area suitabil-
ity; multi-objective genetic optimizing
收稿日期：2009-06-25；修订日期：2009-09-13
基金项目：湖南省自然科学基金资助项目（No.07JJ3127)；国防科技大学优秀博士创新基金资助项目（No.B070301）