Volume XXXVIII-4/W25
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-4/W25, 121-125, 2011
https://doi.org/10.5194/isprsarchives-XXXVIII-4-W25-121-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-4/W25, 121-125, 2011
https://doi.org/10.5194/isprsarchives-XXXVIII-4-W25-121-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.

  31 Aug 2012

31 Aug 2012

EVALUATION OF RATIONAL FUNCTION MODEL FOR GEOMETRIC MODELING OF CHANG'E-1 CCD IMAGES

Y. Liu and K. Di Y. Liu and K. Di
  • Institute of Remote Sensing Applications, Chinese Academy of Sciences P. O. Box 9718, Datun Rd, Chaoyang District, Beijing 100101, P.R.China

Keywords: Planetary, Mapping, Geometric, Model, Rational Function Model, Chang’E-1, CCD image, Precision

Abstract. Rational Function Model (RFM) is a generic geometric model that has been widely used in geometric processing of high-resolution earth-observation satellite images, due to its generality and excellent capability of fitting complex rigorous sensor models. In this paper, the feasibility and precision of RFM for geometric modeling of China's Chang'E-1 (CE-1) lunar orbiter images is presented. The RFM parameters of forward-, nadir- and backward-looking CE-1 images are generated though least squares solution using virtual control points derived from the rigorous sensor model. The precision of the RFM is evaluated by comparing with the rigorous sensor model in both image space and object space. Experimental results using nine images from three orbits show that RFM can precisely fit the rigorous sensor model of CE-1 CCD images with a RMS residual error of 1/100 pixel level in image space and less than 5 meters in object space. This indicates that it is feasible to use RFM to describe the imaging geometry of CE-1 CCD images and spacecraft position and orientation. RFM will enable planetary data centers to have an option to supply RFM parameters of orbital images while keeping the original orbit trajectory data confidential.