Title :
Robust Method for Solving Rational Function Model
Author :
Libo, Chen ; Weili, Jiao
Author_Institution :
Center for Earth Obs. & Digital Earth, Chinese Acad. of Sci., Beijing, China
Abstract :
In the past 10 years, the research on the Rational Function Model (RFM) has been a hot spot since the vendor of IKONOS high-resolution remote sensing image bring it into the commercial application. There are many points of RFM for research, but people mainly focus on how to overcom its ill-posed problem, and look for robust methods for solving the RFM. In this paper, new studies on the ill-posed problem of RFM has been done, and a effectively robust method for overcoming the ill-posed problem of RFM is proposed.
Keywords :
geophysics computing; rational functions; remote sensing; IKONOS high-resolution remote sensing image; ill-posed problem; rational function model; robust method; Control engineering; Earth; Estimation; Geodesy; Remote sensing; Roads; Robustness; Rational function model; ill-posed; robust;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6880-5
DOI :
10.1109/iCECE.2010.453
