面向SAR匹配辅助导航的景象区域适配性  

Area matching suitability for SAR-image matching aided navigation

作　　者：卜彦龙[1] 李洪俊[1] 张国忠[1] 沈林成[1] 潘亮[1] 

机构地区：[1]国防科学技术大学机电工程与自动化学院,湖南长沙410073

出　　处：《光学精密工程》2010年第3期692-700,共9页Optics and Precision Engineering

基　　金：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)

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一——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景象区域适配性问题进行了综合描述;围绕减小几何畸变和提高匹配概率两个目标剖析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景象适配区选择模型。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。Matching-area suitability for Synthetic Aperture Radar（SAR） images, one of the key technologies of scene matching aided navigation, was studied in this paper. The problem of SAR matching-area suitability was described combined with SAR imaging process, integrated navigation course and SAR image characters. Then, for decreasing geometric distortion and improving matching probability, several effect factors on matching-area suitability were analyzed, including constraint conditions in application, construction of feature criterions and predicting functions. Furthermore, a multi-objective genetic optimizing model based on SAR matching-area selection was proposed to decrease geometric 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.

关 键 词：合成孔径雷达 匹配辅助导航 景象区域适配性 多目标遗传优化 

分 类 号：V448.2[航空宇航科学与技术—飞行器设计] TN957.52[电子电信—信号与信息处理]