线阵影像GC^3多视匹配及其扩展模型研究  

Research on Multi-View Matching GC^3 and Its Extended Model for Line-Array Imagery

作　　者：纪松[1,2] 范大昭[1] 戴晨光[1] 刘航冶[1] 

机构地区：[1]信息工程大学测绘学院,河南郑州450052 [2]江西省数字国土重点实验室,江西抚州344000

出　　处：《测绘科学技术学报》2009年第6期430-433,共4页Journal of Geomatics Science and Technology

基　　金：国家863计划资助项目(2006AA12Z154);江西省数字国土重点实验室开放研究基金资助项目(DLLJ200901);矿山空间信息技术国家测绘局重点实验室开放研究基金资助项目(KLM200904)

摘　　要：介绍了GC3线阵影像多视匹配模型,给出了该模型的匹配流程。分析了GC3模型在降低计算量方面的不足,给出了其扩展模型AMMGC。结果表明,GC3模型能够利用多张线阵影像信息,解决相似特征误匹配问题,提高匹配可靠性;AMMGC模型能够综合利用匹配、检查手段,在获取GC3模型等价匹配效果的同时,将匹配计算量平均降低至原先的68.97%。Multi-view matching GC^3 model and its matching procedure for line-array imagery were introduced. Then, the deficiency of GC^3 model on reducing computation amount was analyzed. An extended model AMMGC was given for GC^3 model. Results proved that GC^3 model could use the information of multiple line-array images to solve the matching problem of similar features, and thus improve matching reliability. Moreover, AMMGC model could make use of matching and checking strategies to obtain equal matching results, and at the same time, reduce the computation amount of GC^3 to 68.970%.

关 键 词：线阵 多视匹配 GC3模型 AMMGC模型 准核线 

分 类 号：P237[天文地球—摄影测量与遥感]