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Authors: Xiaoming Gao 1 ; Fan Mo 1 ; Junfeng Xie 1 and Qijun Li 2

Affiliations: 1 Land Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing, China ; 2 Geospatial Information Institute, Information Engineer University, Zhengzhou, China

Keyword(s): Rigorous Geometric Model, Rodrigues Matrix, Constant Angular Error, Additional Parameters Model, Bundle Adjustment.

Abstract: In this paper, Rodrigues matrix is proposed to establish constant angular error calibration model, and interior orientation errors are compensated by additional parameters model. Bundle block adjustment model is established by these two models on the basis of the rigorous geometric model for ZY-3 panchromatic imagery. Once the constant angular errors and interior orientation errors are eliminated using a few GCPs, the geo-location accuracy will be significantly improved.

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Paper citation in several formats:
Gao, X.; Mo, F.; Xie, J. and Li, Q. (2020). Application of Rodrigues Matrix in High Accuracy Geo-location for ZY-3 Panchromatic Imagery. In Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM; ISBN 978-989-758-425-1; ISSN 2184-500X, SciTePress, pages 104-111. DOI: 10.5220/0009434501040111

@conference{gistam20,
author={Xiaoming Gao. and Fan Mo. and Junfeng Xie. and Qijun Li.},
title={Application of Rodrigues Matrix in High Accuracy Geo-location for ZY-3 Panchromatic Imagery},
booktitle={Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM},
year={2020},
pages={104-111},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009434501040111},
isbn={978-989-758-425-1},
issn={2184-500X},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM
TI - Application of Rodrigues Matrix in High Accuracy Geo-location for ZY-3 Panchromatic Imagery
SN - 978-989-758-425-1
IS - 2184-500X
AU - Gao, X.
AU - Mo, F.
AU - Xie, J.
AU - Li, Q.
PY - 2020
SP - 104
EP - 111
DO - 10.5220/0009434501040111
PB - SciTePress