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