Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)

Location of air-borne SAR imagery without GCPs and error analysis

Authors
Ning-jun Fan, Ling-jun Zhao, Gang-yao Kuang, Ying Cui
Corresponding Author
Ning-jun Fan
Available Online August 2013.
DOI
10.2991/rsete.2013.3How to use a DOI?
Keywords
Air-borne SAR, GPS/INS, Location without GCPs, Latitude-longitude Location
Abstract

A latitude-longitude positioning-method has been developed to determine the location of air-borne SAR(Synthetic Aperture Radar) imagery without GCPs(Ground Control Points) based on the F.Leberl Model by using GPS(Global Positioning System)/INS(Inertial Navigation System) system and errors caused by the system are analyzed. By using the measurement-data of the GPS/INS system, the geographical coordinate value of the target can be gotten by combining the three equations: SAR Range Equation, SAR Zero-Doppler Equation and SAR Height Equation. Then the latitude-longitude value of the target can be calculated. This method has an advantage over previous methods in that the iterative algorithm which has to choose a initial point and the roll/pitch of the plane need not to be considered. The numerical experimental result demonstrated the validity of the positioning-method, and depending on the result of the error analysis, some useful applications are recommended.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
10.2991/rsete.2013.3
ISSN
1951-6851
DOI
10.2991/rsete.2013.3How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ning-jun Fan
AU  - Ling-jun Zhao
AU  - Gang-yao Kuang
AU  - Ying Cui
PY  - 2013/08
DA  - 2013/08
TI  - Location of air-borne SAR imagery without GCPs and error analysis
BT  - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
PB  - Atlantis Press
SP  - 11
EP  - 15
SN  - 1951-6851
UR  - https://doi.org/10.2991/rsete.2013.3
DO  - 10.2991/rsete.2013.3
ID  - Fan2013/08
ER  -