Optimization research on the cluster processing of domestic satellite image

Xiaochun Ling; Xianyin Liu; Na Jiang; Yingying Ding; Weili Meng

doi:10.1117/12.2635676

6 May 2022 Optimization research on the cluster processing of domestic satellite image

Xiaochun Ling, Xianyin Liu, Na Jiang, Yingying Ding, Weili Meng

Proceedings Volume 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022); 122560M (2022) https://doi.org/10.1117/12.2635676
Event: 2022 International Conference on Electronic Information Engineering, Big Data and Computer Technology, 2022, Sanya, China

Abstract

In order to solve the problems of domestic satellite images such as unstable parameter accuracy of rational polynomial coefficients (RPC), difficult matching of control points and large invalid redundancy of aerial triangulation processing, the paper proposes a set of whole process solution suitable for domestic satellite image cluster optimization processing, including automatic unattended control point matching and aerial triangulation optimization, selecting the appropriate Digital Elevation Model (DEM) to assist ortho rectification, etc. The results show that the automation degree of aerial triangulation is improved after optimization, the integrated efficiency is improved by more than 1/3; the 30 meter grid interval Digital Surface Model (DSM) which fuses DSM data can meet the requirements of the ortho rectification accuracy of domestic satellite images better than 1 meter in the provincial level.

Citation Download Citation

Xiaochun Ling, Xianyin Liu, Na Jiang, Yingying Ding, and Weili Meng "Optimization research on the cluster processing of domestic satellite image", Proc. SPIE 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022), 122560M (6 May 2022); https://doi.org/10.1117/12.2635676

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KEYWORDS

Image processing

Satellites

Satellite imaging

Earth observing sensors

Data modeling

Bridges

Image quality

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