A Block Adjustment Method for Satellite Imagery Based on Nonlinear Estimation of Constraint Function

Abstract

The present invention relates to a satellite image area network adjustment method based on nonlinear estimation of constraint function, comprising the following steps, S01: constructing a function model of image space image positioning based on RFM; S02: introducing constraint conditions; S03: parameters to be estimated Solve. Its advantage is that constraints are introduced on the basis of conventional block adjustment mathematical models to avoid the problem of non-unique solutions caused by the lack of necessary starting data when there are no control points. The original nonlinear form of the function model transforms the nonlinear problem with constraints into the problem of solving the extremum of the unconstrained function, avoiding the model error problem caused by the linear optimal estimation algorithm, thus ensuring the satellite image without control points High accuracy of the block adjustment solution.

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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