Research on geometry rectification and accuracy evaluation for the ZY-3 remote sensing imagery based on the sparse control points

Jiang Liu; Dandan Liu; Yujuan Zhang; Qiang Wang

doi:10.1117/12.2248367

29 August 2016 Research on geometry rectification and accuracy evaluation for the ZY-3 remote sensing imagery based on the sparse control points

Jiang Liu, Dandan Liu, Yujuan Zhang, Qiang Wang

Author Affiliations +

Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 100333M (2016) https://doi.org/10.1117/12.2248367
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China

Abstract

Based on a few ground control points, the affine transform model, a polynomial model and rational function model are adopted to correct the ZY-3 remote sensing imagery. Because of the traffic and economic issues only 7 ground control points (GCPs) are collected with high location accuracy, and they all only employed to solve the coefficient of the geometrical transformation model. So there are no residual GCP for the evaluation of the correction accuracy and an intuitive and effective accuracy evaluation method is presented for correction result superimposed with topographic maps to verify the geometric correction accuracy. The experimental result shows that having difficulty in obtaining sufficient quantity of the control points, rational function model could be recommended to correct the ZY-3 imagery and obtain the corrective result with relatively high accuracy, which has certain application value, and it is a good method in absence of GCP to use topographic map to evaluate the correction accuracy.

Citation Download Citation

Jiang Liu, Dandan Liu, Yujuan Zhang, and Qiang Wang "Research on geometry rectification and accuracy evaluation for the ZY-3 remote sensing imagery based on the sparse control points", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100333M (29 August 2016); https://doi.org/10.1117/12.2248367

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KEYWORDS

Affine motion model

Satellites

Mathematical modeling

Remote sensing

Satellite imaging

Data modeling

Earth observing sensors

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