Unmanned aerial vehicle multispectral system error calibration and correction method based on Boolean model

By using the Bursa model and the seven-parameter transformation method, the universality and efficiency of error correction for UAV multispectral POS systems are solved, enabling high-precision and standardized UAV remote sensing data processing, which is applicable to fields such as precision agriculture, environmental monitoring, and topographic mapping.

CN121829596APending Publication Date: 2026-04-10SHANDONG RUIZHI FLIGHT CONTROL TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANDONG RUIZHI FLIGHT CONTROL TECH CO LTD
Filing Date
2025-12-26
Publication Date
2026-04-10

AI Technical Summary

Technical Problem

Existing error correction methods for UAV multispectral POS systems rely on specific flight path patterns, lacking universality. Furthermore, they require the deployment of ground control points in each survey area, resulting in a large workload in the field and making it difficult to achieve efficient, standardized, and high-precision data processing.

Method used

A method for calibrating the error of a UAV multispectral system was established using the Bursa model. By acquiring multispectral images and raw POS data, band registration was performed using the ORB feature matching algorithm and bundle adjustment model. The Bursa-Wolf seven-parameter model was then combined to perform three-dimensional spatial similarity transformation, correct the POS data, and generate orthophotos. A multispectral camera calibration and verification formula was then established.

Benefits of technology

It achieves high-precision positioning of UAV multispectral POS system, improving positioning accuracy from meter level to centimeter level, simplifying data processing process, reducing field workload, and has good universality and portability, applicable to various application scenarios such as precision agriculture, environmental monitoring, and topographic mapping.

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Abstract

The invention discloses an unmanned aerial vehicle multispectral system error calibration and correction method based on a Boolean model, and belongs to the technical field of photogrammetry and remote sensing. Comprising the following steps: acquiring a multispectral image, acquiring original POS data, and performing band registration preprocessing on the image to generate a first orthoimage to confirm a system error magnitude; carrying out bundle method strict adjustment by using ground control points to obtain reference POS data, and solving seven-parameter conversion parameters; correcting the original POS data by using seven parameters and generating a high-precision orthoimage; and generating a simplified multispectral camera calibration and verification formula according to the difference value of the POS data before and after correction. Complex coordinate conversion is simplified into fixed value addition and subtraction operation, one-button calibration and batch correction of system errors of the multi-spectral camera of the unmanned aerial vehicle are achieved, the positioning precision is improved to the centimeter level from the meter level, dependence on ground control points is greatly reduced, and an efficient standardized solution is provided for large-scale engineering data processing.
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Citation Information

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