Method for establishing equivalent geometric imaging model of high-resolution satellite image by using RPC parameters

Abstract

The invention relates to a method for establishing an equivalent geometric imaging model of a high-resolution satellite image by using RPC parameters. The method comprises: selecting a random scanningline of a high-resolution satellite image and listing a collinear condition equation of a projection center, an image point and a corresponding object square point; on the basis of operating characteristics and geometric characteristics of the high-resolution satellite, abstracting three rotation angles and six orbital numbers in an equivalent principal distance, a principal point coordinate, andan offset matrix and forming 11 independent parameters of an equivalent geometric imaging model; and with RPC parameters, calculating parameters of the equivalent geometric imaging model directly. Therefore, inherent problems of the over-parameterization of the RPC, strong correlation between parameters, and residual error existence of the fitting tight imaging model are solved; the parameters have the obvious geometric and physical meanings; and modeling analysis can be carried out on various imaging error sources conveniently. The mutual conversion of RPC parameters is realized; and the positioning accuracy of high-resolution satellite image is improved.

Description

technical field [0001] The invention belongs to the field of remote sensing science and technology, and is suitable for the calculation of geometric positioning of high-resolution satellite images. The main purpose is to solve the problems of reduced geometric positioning accuracy caused by factors such as systematic errors in the rational polynomial model (RFM). A method of using rational polynomial model parameters (RPC) to establish the equivalent geometric imaging model of high-resolution satellite images is proposed, and through the equivalent geometric imaging model, parameters such as model error compensation are added to eliminate the reduction in geometric positioning accuracy caused by model errors in RFM and other issues, thereby improving the geometric positioning accuracy of high-resolution satellite images. Background technique [0002] Geometric imaging models for high-resolution satellite images are generally divided into two categories: rigorous imaging mode...

AI Technical Summary

Problems solved by technology

However, RFM still has some defects in practical application, which are mainly reflected in the internal problems and external influences of RPC.

First of all, RPC has inherent problems such as over-parameterization, strong correlation between parameters, and residual errors in the tightly fitted imaging model; secondly, due to technical limitations such as sensors, many satellite platforms have low stability, and the accuracy of instantaneous attitude measurement is limited. External factors lead to obvious systematic errors in satellite images and their RPC parameters, such as errors caused by high-frequency flutter of satellite platforms

These problems will directly lead to the difficulty of eliminating the upper and lower parallax of satellite images in applications such as stereo mapping and image matching, and the difficulty of stereo observation and the decrease of positioning accuracy.

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