地球遥感卫星光学设备图像运动速度场和加速度场的数学建模

S. Y. Gorchakov
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摘要

目的。本文研究的是一颗带有光电有效载荷的卫星,旨在拍摄地球表面的照片。这项工作旨在建立一个数学模型,以确定卫星状态矢量、地球表面被成像点的状态矢量以及沿光电有效载荷焦平面成像运动的速度矢量和加速度分布场之间的关系。该方法基于从太空对地球表面进行测量时摄影测量方程的双重微分。为了模拟卫星的轨道运动和角运动,使用了数值积分微分方程。地球表面的运动参数是根据基础天文学标准软件库计算得出的。获得了图像运动的微分方程。对建立的数学模型进行了验证。利用图像速度补偿模型模拟了所考虑的卫星在轨道定向模式下的运动。构建了地球表面图像运动的速度矢量和加速度分布场。研究了补偿后图像场的残余运动。所提出的数学模型既可用于光电有效载荷,在卫星设计阶段模拟拍摄模式和估计图像位移,也可用于卫星运行阶段,将所提出的模型纳入星载软件。在还原图像和获得超分辨率时,所提出的依赖关系还可用于构建图像变换矩阵。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mathematical modeling of velocity and accelerations fields of image motion in the optical equipment of the Earth remote sensing satellite
Objectives. The paper considers a satellite with an optoelectronic payload designed to take pictures of the Earth’s surface. The work sets out to develop a mathematical model for determining the dependencies between the state vector of the satellite, the state vector of the point being imaged on the Earth’s surface, and the distribution fields of the velocity vectors and accelerations of the motion of the image along the focal plane of the optoelectronic payload.Methods. The method is based on double differentiation of the photogrammetry equation when applied to a survey of the Earth’s surface from space. For modeling the orbital and angular motion of the satellite, differential equations with numerical integration were used. The motion parameters of the Earth’s surface were calculated based on the Standards of Fundamental Astronomy software library.Results. Differential equations of motion of the image were obtained. Verification of the developed mathematical model was carried out. The motion of the considered satellite was simulated in orbital orientation mode using an image velocity compensation model. The distribution fields of velocity vectors and accelerations of motion of the image of the Earth’s surface were constructed. The residual motion of the field of image following compensation was investigated.Conclusions. The proposed mathematical model can be used both with an optoelectronic payload when modeling shooting modes and estimating image displacements at the design stage of a satellite, as well as at the satellite operation stage when incorporating the presented model in the onboard satellite software. The presented dependencies can also be used to construct an image transformation matrix, both when restoring an image and when obtaining a super-resolution.
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