Digital distorting model generating method for compensating image distortion of camera measurement

Abstract

A method for generating digital distortion model includes setting up and shooting control field, selecting four corner marks and making their distortion zero, leading projective difference in for realizing true 2-D control field transform, measuring out actual position and calculating out theoretical position of each control mark and confirming total distortion of each control mark, obtaining total distortion for each picture element to generate the model by interpolating based on total distortion of four marks nearest to picture element to be measured.

Description

technical field [0001] The invention belongs to the technical field of photogrammetry and remote sensing, and relates to a digital distortion model for compensating photogrammetry image distortion and a generation method of corresponding parameters (internal orientation elements). Background technique [0002] There are two strategies for compensating image distortion, that is, the conventional function model strategy and the digital distortion model strategy proposed by the present invention. [0003] Today, at home and abroad, the compensation for various camera distortions almost all adopts some kind of polynomial function model. The coefficients of such polynomials either have obvious physical meanings, or have imitative physical meanings, or rely on long-term optimization design to determine the shape of the polynomial and its corresponding coefficients. [0004] Those with obvious physical meaning, such as the optical radial distortion coefficient (k 1 , k 2 …) and ...

AI Technical Summary

Problems solved by technology

[0009] When using the function model, the subsequent data processing of photogrammetry and remote sensing must face dozens of function models proposed by Westerners (sometimes even contradictory), and make a choice, which is time-consuming and labor-intensive.

In addition, using the traditional function model, the imaging mechanism of the imaging system must be understood, and the possible error sources and their impact levels must be analyzed one by one and in detail

All in all, the method based on the "function model" does not have the "universality" of cameras suitable for different imaging mechanisms; to a large extent, it does not have the ability to compensate for distortions that cannot be mathematically simulated; It is necessary to bear the "unstable influence" in determining polynomial coefficients; moreover, using traditional function models, most of them lack objective standards for evaluating results; using the digital distortion model proposed by the present invention, the results can be objectively evaluated by means of control fields

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