Open AccessORTORECTIFICATION OF SPOT-4 DATA USING RATIONAL POLYNOMIAL COEFFICIENTS
Author(s) -
Danang Surya Candra
Publication year - 2012
Publication title -
international journal of remote sensing and earth sciences/international journal of remote sensing and earth sciences
Language(s) - English
Resource type - Journals
eISSN - 2549-516X
pISSN - 0216-6739
DOI - 10.30536/j.ijreses.2012.v9.a1827
Subject(s) - orthophoto , satellite , mean squared error , polynomial , projection (relational algebra) , computer science , orbit (dynamics) , square root , root mean square , polynomial and rational function modeling , algorithm , mathematics , computer vision , geometry , mathematical analysis , statistics , physics , quantum mechanics , astronomy , engineering , aerospace engineering
Orthorectification of satellite imagery can be done in two ways i.e., rigorous sensor model and the approximation model of the satellite’s orbit. Dependence on physicalparameters, to make rigorous sensor model is more complicated and difficult to apply. The approximation model can be either Rational Polynomial Coefficients (RPC) model or parallel projection system. RPC is a mathematical model which is not depends on the sensor. It is used to improve the positioning accuracy when the parameter of the physical sensor model is unknown. This study assessed orthorectification of SPOT-4 using the RPC model with 7 coefficients. Root Mean Square Error (RMSE) of GCPs obtained from the study was less than 1 pixel. RPC did not depend on physical and satellite orbit parameters. Thus the RPC was simpler and easier to apply.