Variance minimizing method of satellite image local area network based on nonlinear estimation of restriction function

Abstract

The invention relates to a variance minimizing method of a satellite image local area network based on nonlinear estimation of a restriction function. The method comprises the following steps: S01, building a function model of image positioning of an image square space based on RFM (Rational Function Model); S02, introducing a restriction condition; S03, solving parameters to be estimated. The method has the advantages that the restriction condition is introduced on a conventional local area network least variance mathematical model, so that the problem of non-unique solution caused by loss of necessary initial data under a condition of no control points is solved, and meanwhile, unknown parameters are optimally estimated by adopting a restriction function method, an original non-linear form of the functional model is preserved, the non-linearity problem with the restriction condition is converted into the problem of the solution to unconstrained function extreme value, and a model error problem caused by a linear optimal estimation algorithm is avoided, and therefore, high precision of least variance solution of the satellite image local area network under the condition of no control points is ensured.

Description

technical field [0001] The invention relates to the technical field of satellite photogrammetry, in particular to a satellite image block adjustment method based on nonlinear estimation of constraint functions. Background technique [0002] Advances in aerospace technology, computer technology, network technology, and information processing technology have promoted the continuous development of remote sensing and earth observation technology, and high-resolution surveying and mapping satellite systems have continued to emerge. Therefore, high-resolution satellite imagery has become one of the important means of obtaining geospatial information of small and medium scales. The high-precision geometric positioning of images is an important prerequisite for the wide application of high-resolution satellite images and the basis for the production of 4D digital products (DTM, DOM, DLG, DRG) using satellite images. At present, "stereoscopic image--ground control point--aerial tria...

AI Technical Summary

Problems solved by technology

This method uses the spectrum correction method to iteratively estimate and solve the correction parameters and ground point coordinates, and sets the number of iterations and the threshold. However, this method cannot control the accuracy, and can only approach the corresponding point, which needs to be matched with the ground point. When the measured area This method fails when there are no control points

[0006] Therefore, there is an urgent need for a satellite imagery block adjustment method that can effectively reduce errors, improve accuracy, apply to uncontrolled areas, and rely less on ground control points. However, there has been no report on this method so far.

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