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REFINEMENTS TO THE RATIONAL POLYNOMIAL COEFFICIENT CAMERA MODEL

机译:有理多项式系数相机模型的改进

摘要

An RPC camera model is applied to a set of intermediate object-space coordinates, where the intermediate object-space coordinates are determined by scaling, translating and rotating original object-space coordinates. The resulting image-space coordinates may be seen to more accurately remove residual error or bias that may exist for one or more of the imaging parameters on which the RPC camera model is based. The RPC camera model thus refined may then be used for photogrammetric processing of associated satellite imagery, including block adjustment, 3D feature extraction and orthorectification. Alternatively, a new RPC camera model (i.e., new coefficients) may be determined based on scaling, translating and rotating parameters. The new RPC camera model may then be applied to the original object-space coordinates to determine image-space coordinates.
机译:将RPC摄像机模型应用于一组中间对象空间坐标,其中通过缩放,平移和旋转原始对象空间坐标来确定中间对象空间坐标。可以看到,所得的图像空间坐标可以更准确地消除RPC相机模型所基于的一个或多个成像参数可能存在的残留误差或偏差。如此精炼的RPC相机模型随后可用于相关卫星图像的摄影测量处理,包括块调整,3D特征提取和正射校正。可替代地,可以基于缩放,平移和旋转参数来确定新的RPC摄像机模型(即,新的系数)。然后可以将新的RPC摄像机模型应用于原始对象空间坐标,以确定图像空间坐标。

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