Field-correlation single-side self-calibration light beam adjustment method for photogrammetry

Abstract

The invention provides a field-correlation single-side self-calibration light beam adjustment method for photogrammetry. The method comprises the following steps: a, establishing a linear pinhole imaging model, and auxiliary arranging a field-correlation nonlinear distortion model; b, determining a field-correlation single-side self-calibration light beam adjustment theoretical model; c, establishing an error equation of a field-correlation single-side self-calibration imaging model; d, solving a partial derivative of the field-correlation imaging model in the error equation for an exterior orientation parameter; e, solving a partial derivative of the field-correlation imaging model in the error equation for space coordinates; f, solving a partial derivative of the field-correlation imaging model in the error equation for a single-side interior parameter; g, performing adaptive proportion adjustment on each item in an error equation Jacobian matrix; h, rapidly calculating each item in a normal equation through a portioning mode; i, solving various parameters in self-side self-calibration; j, performing parameter proportion inverse adjustment to eliminating proportion change; and k, calculating weight errors, and carrying out uncertainty estimation of the various parameters in the single-side self-calibration.

Description

technical field [0001] The invention relates to a field-correlated unilateral self-calibration beam adjustment method, in particular to a field-correlated unilateral self-calibration beam adjustment method of a large-scale multi-site static photogrammetry system. Background technique [0002] Photogrammetry uses pictures of the measured object taken from multiple locations and angles in the measurement network, and uses the intersection of light beams to locate the coordinates of spatial points. The use of a large amount of redundant information reduces the systematic error of measurement. Compared with the measurement range, the relative error of general coordinate measurement of photogrammetry is [1 / 100000, 1 / 200000], and the relative error of length measurement is [1 / 50000, 1 / 100000] [1] . In addition to the advantages of non-contact, low cost and high efficiency, photogrammetry is no less accurate than other measuring equipment. [0003] The high precision of photogram...

AI Technical Summary

Problems solved by technology

However, the application of this model in self-calibrating bundle adjustment is limited

[0005] The domestic research and development of photogrammetry has not deeply explored the impact of the spatial distance of the target point on its imaging, and the beam adjustment model and algorithm do not consider the correlation between spatial coordinates, external orientation parameters, and distortion parameters.

Although the adjustment results give a relatively satisfactory estimate of the spatial coordinate error, in fact, related studies have pointed out that the spatial error is much larger than the adjustment conclusion

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