Study of the Rational Function Model for Image Rectification

摘要

The rational function model (RFM) has been considered as a generic sensor model. Compared to the polynomial model widely used, RFM is essentially a more generic and expressive form. RFM is technically applicable to all types of sensors such as frame, pushbroom, whiskbroom and SAR etc. With the increasing availability of the new generation imaging sensors, accurate and fast rectification of digital imagery using a generic sensor model becomes of great interest to the user community. This paper firstly presents a brief overview of the sensor models used for the rectification of digital imagery. The two solution methods to RFM, namely direct solution and iterative solution, are then provided. Finally, the test results using real-world aerial photograph data are described. Comprehensive experiments have been carried out to analyze the approximation accuracy of the two solutions.