Research on Geometric Precision Correction Method Based on GF-2 Satellite Remote Sensing Image

Abstract

Geometric correction is an essential step in the preprocessing of remote sensing image. It can effectively eliminate the geometric error and improve the matching degree between the image and the actual terrain. Based on the GF-2 satellite remote sensing image, this paper uses Polynomial, Affine and Rational Polynomial Coefficient geometric correction model to carry out the geometric correction of GF-2 satellite images. Through the analysis of the experimental results obtained in the use of Rational Polynomial Coefficient on GF-2 remote sensing image geometric correction, the Rational Polynomial Coefficient is higher than Polynomial and the accuracy of Affine is more suitable for GF-2 remote sensing image geometric correction.