Analysis of the Influence of Undulate Terrain on the Geometric Accuracy of Remote Sensing Images

Autor: Qiaolin Huang, Hongyan He, Yu Wang, Guoliang Tian
Rok vydání: 2018
Předmět:
Zdroj: 2018 Eighth International Conference on Instrumentation & Measurement, Computer, Communication and Control (IMCCC).
DOI: 10.1109/imccc.2018.00195
Popis: In recent years, with the improvement of the stability and mobility of optical remote sensing satellite platforms, the field of view and the width of remote sensing satellites have also increased dramatically. The wide-range and large-field-of-view remote sensing make the effect of topography fluctuations on the geometric positioning accuracy of remote sensing satellites from linear to nonlinear. It is of great significance to analyze the effect of topographic relief on the geometric accuracy of push-scan optical remote sensing satellites for improving the geometric positioning accuracy of optical remote sensing satellites. Firstly, this paper analyzes how the topographic relief affects the geometric positioning accuracy in optical remote sensing satellite geometry imaging links, through the analysis it is concluded that the image shift of satellite remote sensing image caused by topographic relief is related to the ground elevation, focal length and side-swing angle; Secondly, Using the parameters of the Worldview-2 and ZY-3 satellites to simulate and verify the image shifts of remote sensing images under different satellite focal lengths, side-swing angles and ground elevation conditions; Finally, Gaussian synthesis surface model is used to simulate different terrains (plains, hills, mountains, high mountains) to obtain satellite remote sensing simulation images, and the direct positioning method is used to get the geometric positioning deviation of remote sensing satellites caused by different terrain relief conditions.
Databáze: OpenAIRE