Volume XLII-3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 775-780, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-775-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 775-780, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-775-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  30 Apr 2018

30 Apr 2018

COMPARISON OF THE LINEAR AND THE NON-LINEAR BLOCK ADJUSTMENT ON SATELLITE IMAGES RESEARCH

C. Li1, C. Chen1, Z. Guo1,2, and Q. Liu1 C. Li et al.
  • 1Satellite Surveying and Mapping Application Center, National Administration of Surveying, Mapping and Geoinformation, No.1 Baishengcun, Zizhuyuan Road, Haidian District, 100048 Beijing, P.R. China
  • 2Dept. of Geomatics, Liaoning Technical University, Fuxin 123000, Liaoning, China

Keywords: Linear Least square method, Non-Linear Least square method, error equation, Block adjustment, Rational Function Model, High-resolution Satellite images

Abstract. The Rational Function Model (RFM) is a non-linear model. Usually, the RFM-based satellite image block adjustment uses the Taylor series to expand error equations, and then solves the linear model. Theoretically, linearization of a non-linear model affects the accuracy and reliability of the adjustment result. This paper presents linear and non-linear methods for solving the RFM-based block adjustment,and takes ZiYuan3 (ZY-3) satellite imagery block adjustment as an example, using same check points to assess the accuracy of the two methods. In this paper, a non-linear least square method is used for solving the RFM-based block adjustment, which expands a solution to the block adjustment.