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Bundle Block Adjustment of Airborne Three-Line Array Imagery Based on Rotation Angles

机译:基于旋转角度的机载三线阵列图像捆绑块调整

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In the midst of the rapid developments in electronic instruments and remote sensing technologies, airborne three-line array sensors and their applications are being widely promoted and plentiful research related to data processing and high precision geo-referencing technologies is under way. The exterior orientation parameters (EOPs), which are measured by the integrated positioning and orientation system (POS) of airborne three-line sensors, however, have inevitable systematic errors, so the level of precision of direct geo-referencing is not sufficiently accurate for surveying and mapping applications. Consequently, a few ground control points are necessary to refine the exterior orientation parameters, and this paper will discuss bundle block adjustment models based on the systematic error compensation and the orientation image, considering the principle of an image sensor and the characteristics of the integrated POS. Unlike the models available in the literature, which mainly use a quaternion to represent the rotation matrix of exterior orientation, three rotation angles are directly used in order to effectively model and eliminate the systematic errors of the POS observations. Very good experimental results have been achieved with several real datasets that verify the correctness and effectiveness of the proposed adjustment models.
机译:在电子仪器和遥感技术的飞速发展中,机载三线阵列传感器及其应用得到了广泛的推广,有关数据处理和高精度地理参考技术的大量研究正在进行中。但是,由机载三线传感器的集成定位和定向系统(POS)测量的外部定向参数(EOP)具有不可避免的系统误差,因此直接地理参考的精度水平对于测绘应用程序。因此,需要一些地面控制点来完善外部定向参数,本文将基于系统误差补偿和定向图像,讨论束块调整模型,同时考虑图像传感器的原理和集成POS的特性。 。与文献中可用的模型不同,文献中的模型主要使用四元数来表示外部方向的旋转矩阵,而直接使用三个旋转角度可以有效地建模和消除POS观测值的系统误差。使用几个真实的数据集已经获得了很好的实验结果,这些数据集验证了所提出的调整模型的正确性和有效性。

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