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Attitude Refinement for Orbiting Pushbroom Cameras: a Simple Polynomial Fitting Method

机译:轨道推扫式摄像头的姿态优化:一种简单的多项式拟合方法

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This paper describes a simple pushbroom camera model for Earth observation satellites and proposes a new algorithm to refine the orientation parameters of a camera from a set of ground control points. The relative importance of the various orientation parameters are analyzed. On the last generation of very high resolution satellites such as Pléiades and WorldView, the attitude angles are shown to be the main contributors to localization errors. Thus the proposed algorithm focuses on refining the attitude angles. It is based on a simple polynomial fitting method. Numerous experiments, which can be reproduced through the online demo associated to this paper, show that the proposed algorithm is able to reduce the localization error by one order of magnitude with only a few ground control points. A geometric simulator for the proposed model is implemented, as well as the attitude refinement algorithm.
机译:本文描述了一个简单的用于地球观测卫星的推扫帚相机模型,并提出了一种新算法,可以从一组地面控制点中完善相机的方向参数。分析了各种定向参数的相对重要性。在上一代极高分辨率的卫星(例如Pléiades和WorldView)上,姿态角被证明是造成定位误差的主要因素。因此,所提出的算法着重于细化姿态角。它基于简单的多项式拟合方法。可以通过与本文相关的在线演示进行重现的大量实验表明,该算法仅需几个地面控制点就能将定位误差降低一个数量级。实现了针对所提出模型的几何模拟器以及姿态优化算法。

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