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作 者:张铮 孙建军[1] ZHANG Zheng;SUN Jianjun(Tianjin Institute of Geotechnical Investigation&Surveying,Tianjin 300191,China)
机构地区:[1]天津市勘察院,天津300191
出 处:《测绘与空间地理信息》2020年第10期88-90,共3页Geomatics & Spatial Information Technology
基 金:天津市重点研发计划科技支撑重点项目——基于北斗的智能土地及环境在线监察综合技术研究与服务平台建立(18YFZCSF00620)资助。
摘 要:针对不同类型遥感影像的构像模型种类很多,本文设计了一种自适应选择机制,为不同的影像选择最合适的构像模型,以构建出最佳的"复合式"立体定位方程组。此外,与传统的立体定位方法不同,"复合式"立体定位方程组中各个方程的形式不同,在方程组解算过程中权阵对结果的影响将非常显著。通过实验分析发现复合式立体定位确实可以提高高分辨率遥感影像的几何定位精度。There were many kinds of image models for different types of remote sensing images.In this paper,an adaptive selection mechanism was designed to select the most suitable image model for different types of images,in order to construct the best"composite"stereo positioning equations.In addition,unlike traditional stereo positioning methods,the form of each equation in the compound stereo positioning equation group was different,and the weight matrix will had a significant influence on the results in the process of solving the equation group.Through the experimental analysis,it was found that the compound stereo positioning can indeed improve the geometric positioning accuracy of high resolution remote sensing images.
分 类 号:P237[天文地球—摄影测量与遥感]
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