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TRIANGULATION OF SPACEBORNE THREE-LINE ARRAY IMAGERY WITH DIFFERENT SENSOR MODELS

机译:具有不同传感器型号的星空三线阵列图像的三角测量

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Spaceborne linear array sensors have been introduced into photogrammetry since more than twenty years ago. The traditional solution of frame photograph cannot deal with image data of linear array sensor anymore, because the position and attitude of the spacecraft vary at each scanner line. Thus the number of unknowns would be extremely large and it is impossible to determinate the exterior orientation parameters of each scanner line. A proper approximation has to be applied to model the spacecraft trajectory to reduce the unknowns in triangulation. There are three models feasible to represent the satellite trajectory: Quadratic Polynomial Model (QPM), Systematic Error Compensation Model (SECM), and Orientation Image Model (OIM). Revealing the differences of the three sensor models and relationships between different control strategies and the final accuracy of georeferencing after bundle adjustment is the main purpose of this paper. To fully evaluate the accuracy that spaceborne three-line scanner can achieve, experiments with LMP, SECM and OIM triangulation algorithms are performed with a 500km length data sets under WGS 84 coordinate system.
机译:自从二十二年前以来,星载线性阵列传感器已被引入摄影测量。传统的帧照片解决方案不再处理线性阵列传感器的图像数据,因为航天器的位置和姿态在每个扫描线上变化。因此,未知数的数量将非常大,无法确定每个扫描仪线的外部方向参数。必须应用适当的近似来模拟航天器轨迹以减少三角测量中未知数。有三种型号可行代表卫星轨迹:二次多项式模型(QPM),系统误差补偿模型(SECM)和方向图像模型(OIM)。揭示三种传感器模型和不同控制策略之间的关系的差异和束调节后地理转移的最终准确性是本文的主要目的。为了充分评估星载三线扫描仪可以实现的精度,使用WGS 84坐标系下的500km长度数据集进行LMP,SECM和OIM三角测量算法的实验。

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