多源高空间分辨率遥感图像平差方法  

Adjustment model for remote sensing images with high spatial resolution from multi-sensors

作　　者：宋妍[1] 范高晶[1] 左佳[2] 

机构地区：[1]中国地质大学(武汉)信息工程学院,武汉430074 [2]武汉市勘测设计研究院,武汉430022

出　　处：《国土资源遥感》2013年第2期21-26,共6页Remote Sensing for Land & Resources

基　　金：国家自然科学基金项目(编号:41101339);中国地质大学(武汉)校级中央高校基本科研业务费专项资金项目(编号:2011119004)共同资助

摘　　要：多源高空间分辨率遥感图像的综合分析处理对地表测绘、灾害应急响应、军事侦察等领域具有重要意义,而如何获取较高精度的地面点坐标是多源遥感图像综合分析与应用所需解决的首要问题。为解决该问题,在有理多项式系数(rational polynomial coefficient,RPC)的理论框架下,构建了基于RPC的多源遥感图像平差模型,用于改正初始RPC模型的系统误差,以得到较高精度的定位结果。为验证本文提出的平差方法的正确性,采用IKONOS和GeoEye-1全色立体像对进行了联合平差试验。结果表明,基于RPC的多源遥感图像联合平差模型是正确的,对控制点依赖较少,定位精度较单源立体像对平差的定位精度高,具有较大的应用潜力。The analysis of multi - source high resolution remote sensing images is important for Earth surface surveying, rapid response to hazard, and military detection. The problem as to how to obtain high accurate coordinates of ground points is essential for the analysis of multi - source remote sensing images. Hence, under the frame of rational polynomial coefficient（RPC） theory ,the authors established an adjustment model of multi- source images based on RPC. The model can correct the error of initial RPC model system and obtain more accurate positional results. For proving the accuracy of the model, the authors made use of IKONOS and GeoEye - 1 panchromatic stereo images. The adjustment calculation results show that the adjustment model of the multi - sensor remote sensing images based on RPC is correct and independent of ground control point. The positioning accuracy of multi - sensor adjustment is more precise than that of homologous sensor adjustment. The model proposed in this paper has a lot of potential applications.

关 键 词：高空间分辨率遥感图像 多源传感器 有理多项式系数(RPC) 平差模型 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]