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The Rational Polynomial Coefficients Modification Using Digital Elevation Models

机译:利用数字高程模型修改RATIONAL多项式系数

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The high-resolution satellite imageries (HRSI) are as primary dataset for different applications such as DEM generation, 3D city mapping, change detection, monitoring, and deformation detection. The geo-location information of HRSI are stored in metadata called Rational Polynomial Coefficients (RPCs). There are many methods to improve and modify the RPCs in order to have a precise mapping. In this paper, an automatic approach is presented for the RPC modification using global Digital Elevation Models. The main steps of this approach are: relative digital elevation model generation, shift parameters calculation, sparse point cloud generation and shift correction, and rational polynomial fitting. Using some ground control points, the accuracy of the proposed method is evaluated based on statistical descriptors in which the results show that the geo-location accuracy of HRSI can be improved without using Ground Control Points (GCPs).
机译:高分辨率卫星成像(HRSI)是针对不同应用的主要数据集,如DEM生成,3D城市映射,改变检测,监控和变形检测。 HRSI的地理位置信息存储在称为Rational多项式系数(RPC)的元数据中。 有许多方法来改进和修改RPC,以便具有精确的映射。 本文使用全局数字高程模型呈现了RPC修改的自动方法。 该方法的主要步骤是:相对数字高度模型生成,移位参数计算,稀疏点云生成和换档校正,以及合理多项式拟合。 使用一些地控制点,基于统计描述符评估所提出的方法的准确性,其中结果表明可以在不使用地面控制点(GCP)的情况下提高HRSI的地理位置精度。

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