3D geo-positioning based on bias-compensated rational function model for quickBird imagery

Gang Qiao; Weian Wang; Jinglei Zhang

doi:10.1117/12.760507

8 August 2007 3D geo-positioning based on bias-compensated rational function model for QuickBird imagery

Gang Qiao, Weian Wang, Jinglei Zhang

Proceedings Volume 6752, Geoinformatics 2007: Remotely Sensed Data and Information; 675212 (2007) https://doi.org/10.1117/12.760507
Event: Geoinformatics 2007, 2007, Nanjing, China

Abstract

This paper first discusses the background and details of Rational Function Model (RFM) which describes the coordinates in image space and object space, and then by incorporating additional parameters into the basic RFM, the bias-compensated RFM is introduced. With different additional parameters, four kinds of bias-compensated RFM are put forward and discussed. Finally an experimental test in Shanghai, China, is carried out with the Bias-compensated Rational Function Model using QuickBird across-track stereo imagery and highly accuracy Ground Control Points (GCP) as data source. Conclusion is drawn that with more well distributed GCPs, high 3D geo-positioning accuracy can be obtained up to about 0.6 meter in plane direction and 0.7 meter in height direction.

Citation Download Citation

Gang Qiao, Weian Wang, and Jinglei Zhang "3D geo-positioning based on bias-compensated rational function model for QuickBird imagery", Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 675212 (8 August 2007); https://doi.org/10.1117/12.760507

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