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控制点影像库构建与多源影像联合空三定位 被引量:9

Construction of GCP Image-chips Library for Combining Spatial Triangulation Georeferencing of Multi-source Imagery
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摘要 针对大遥感时代多源异构导致影像几何精度难以保证的问题,提出通过空天多源异传感器影像自动匹配,在传统的普通地面控制点基础上,构建广义影像控制点和控制点库。同时,以通用传感器模型的精化参数为基础,采用空天影像联合几何处理方法,使用高定位精度的空天影像作为辅助参考影像,对原始空天影像实现多源异构遥感影像的几何纠正和配准,从而保证空天多源数据几何精度的可靠性和一致性。实验表明,该方法符合多源影像的高精度几何纠正和配准需要。该方法应用于控制点影像空间数据库构建与大范围影像定位网更新领域还需要进一步研究。 In this paper,on the basis of the traditional and ordinary ground control point(GCP),general image control points and GCP library were created by automatic image matching of aerospace multi-source sensor.At the same time,the combined geometric processing methods for aerospace image were used to take into account precise georeferencing aerospace imagery as a reference data source based on elaborated parameters of the general sensor model.Furthermore,the geometric correction and registration of multi-source heterogeneous images were implemented for the original aerospace images,eventually ensure the reliability and consistency of geometric accuracy for aerospace multi-source data sets.The results of experiment indicated that the requirement of precise geometric rectification and registration was corresponding with this method.There still needs further study,however,if this method could be applied to the field of construction of GCP image spatial database and regional imagegeoreferencing network.
出处 《遥感信息》 CSCD 北大核心 2017年第1期71-78,共8页 Remote Sensing Information
基金 国家科技支撑计划项目(2012BAJ23B03) 国家自然科学基金(41271431)
关键词 控制点库 空天 联合几何处理 匹配纠正 多源配准 平差 GCP library aerospace combined geometric processing matching rectification multi-source registration adjustment
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