Optical image and laser altimetry data adjustment method based on rational function model

Abstract

The invention relates to an optical image and laser altimetry data adjustment method based on a rational function model. The method comprises the following steps: S1, obtaining corresponding optical image data and laser altimetry data; S2, establishing a rational function model of the optical image data and the laser altimetry data; S3, constructing a deviation compensation model containing to-be-solved parameters according to the rational function model, and establishing a joint adjustment model of the optical image and the laser altimetry data, the joint adjustment model comprising an errorequation of a virtual control point, and the virtual control point being a corresponding point of the optical image and the laser altimetry data; S4, solving the joint adjustment model by adopting a total least square method based on a partial-EIV model to obtain the to-be-solved parameters of the deviation compensation model; and S5, obtaining an elevation positioning result of the image according to the deviation compensation model. Compared with the methods in the prior art, the method has the advantages that the adjustment precision is high and the elevation positioning precision of the image is effectively improved.

Description

technical field [0001] The invention relates to the technical field of laser height measurement, in particular to an optical image and laser height measurement data adjustment method based on a rational function model. Background technique [0002] Rational function model (RFM) is a generalized imaging model independent of photography platforms and sensors. It is generated by a strict imaging model. It is actually a numerical approximation to the strict imaging model. Although there is no strict imaging model in theory Strict, but the positioning accuracy in actual production can reach the accuracy of the strict imaging model. The error of the strict imaging model also exists in the RFM, and the RFM can be compensated for the deviation through the image square correction parameters. In traditional photogrammetry, it is necessary to add ground control points to generate a digital elevation model (Digital Elevation Model, DEM) by aerial triangulation. For large-scale area ne...

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Problems solved by technology

[0003] However, when only laser altimetry is used as the elevation constraint to add the adjustment model, the entire regional network to be adjusted lacks plane control, and the degree of freedom of the regional network is relatively high. Directly solving the parameters to be adjusted as free unknowns will lead to the normal equation The ill condition of the adjustment leads to instability of the adjustment accuracy, and in the adjustment, the coefficient matrix of the image square correction parameter contains error items, which is not suitable for the G-M model (Gauss-Markov model), which is the most basic measurement adjustment. mathematical model of

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