Rigorous imaging model linear recovery method and system

Abstract

The invention provides a rigorous imaging model linear recovery method and system. The rigorous imaging model linear recovery method comprises modeling of a rigorous imaging model and a universal imaging model; recovering vector information of the space observation light pixel by pixel; recovering position information of the strict imaging model through spatial observation light forward intersection; recovering attitude information of the strict imaging model by using the concept of the equivalent ontology coordinate system; and recovering the interior orientation element information of the strict imaging model by utilizing the concept of a probe element pointing angle. According to the method, vector information of space observation light rays hidden in a general imaging model can be fully utilized, the light ray direction is recovered pixel by pixel, the position, posture and interior orientation element information of a strict imaging model is recovered linearly, and the problems that a traditional resolving method is insufficient in distortion consideration and needs accurate initial values and nonlinear iteration are solved.

Description

technical field [0001] The invention belongs to the field of geometric processing of remote sensing images, and relates to a linear restoration method and system of a rigorous imaging model. Background technique [0002] The general imaging model to replace the rigorous imaging model has been studied by many scholars, and has been verified on various types of remote sensing sensors. In order to keep the parameters of commercial remote sensing satellites confidential, almost all commercial remote sensing data providers only provide general imaging models, which has caused the following problems: ① In the analysis of remote sensing stereo geometry, the altitude angle and azimuth angle of the satellite need to use the satellite’s rigorous Imaging model parameters, which cannot be obtained from the general imaging model; ②Under weak intersection conditions, compared with the general imaging model, the strict imaging model can provide better positioning accuracy; ③In the processi...

AI Technical Summary

Problems solved by technology

[0008] The present invention provides a linear restoration method for a strict imaging model for the problems of insufficient consideration of distortion, need for accurate initial values, and nonlinear iterations in traditional rigorous imaging model restoration methods, and the process includes the following steps:

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