稀少控制下机载InSAR区域网联合地理编码方法  

Block Combined Geocoding of Airborne InSAR with Sparse GCPs

作　　者：黄国满[1] 杨书成[1] 王宁娜[2] 张继贤[1] 赵争[1] 

机构地区：[1]中国测绘科学研究院,北京100830 [2]广西国土资源信息中心,广西南宁530029

出　　处：《测绘学报》2013年第3期397-403,共7页Acta Geodaetica et Cartographica Sinica

基　　金：国家863计划主题项目(2011AA120402);国家自然科学基金(41071237)

摘　　要：针对机载InSAR未经地理编码的斜距高程图,提出机载InSAR斜距高程图绝对定向模型,用于定位和地理编码。模型利用斜距的高程信息进行斜地距转换,消除了影像像点之间的相对位移,然后将转换后的地距高程图视为刚体,进行相似变换,转换到物方空间坐标系下,从而建立由影像坐标和相对高程信息到地面三维坐标的映射关系。在绝对定向模型的基础上,以每个地距高程图作为单元模型,利用各单元模型彼此间的公共点连成一个区域,利用少量的控制点进行区域网平差,求得各模型的定向参数和加密点的坐标,实现了稀少控制下的机载InSAR多片联合地理编码。利用我国西部横断山脉地区3个条带2.5 m分辨率的机载InSAR数据组成区域网进行平差试验,通过对多种控制点布设方案进行比较,确定区域网平差控制点布设方案,结果显示在9个控制点的情况下精度趋于稳定,满足1∶50 000测图要求。An absolute orientation model was proposed for slant-range elevation map of airborne InSAR which was not geocoded. At first, the model converted slant-range elevation map to ground-range elevation map according to elevation of the slant-range map, thus relative displacement between image points could be eliminated. Then, as a rigid body, ground-range elevation map was transformed into geographic coordinate system through similarity transformation. Thereby geocoding could be completed with the mapping relationship from points of elevation map to ground points. On the basis of absolute orientation model, a block was made up of multipleground-rangeelevation maps using tie points of neighbor models. Then model orientation and solution for geographic coordinates of tie points could be completed by block adjustment, and combined geocoding of multiple elevation maps could be realized, Experiment was carried out with airborne InSAR data containing three strips and located at Hengduan Mountains area of Western China. The resolution was 2.5 m. Distribution scheme of orientation points was determined with comparison of several different layout schemes. The results show that the accuracy tended towards stability with nine orientation points and meet the requiremets of topographic mapping at a scale of 1： 50 000.

关 键 词：机载InSAR 斜距高程图 地理编码 相似变换 绝对定向 区域网平差 

分 类 号：P231[天文地球—摄影测量与遥感]