Low-altitude photogrammetry pixel and geographic latitude and longitude real-time conversion method

By acquiring data in real time from drones and integrating data from multiple sources, the real-time performance and cost issues of pixel-to-geographic coordinate conversion in traditional low-altitude photogrammetry have been resolved. This enables efficient geographic information extraction during random drone inspections and manual flights, making it suitable for various application scenarios.

CN122265393APending Publication Date: 2026-06-23HI-THINK TECH CORP
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HI-THINK TECH CORP
Filing Date
2026-03-16
Publication Date
2026-06-23

AI Technical Summary

Technical Problem

Traditional low-altitude photogrammetry technology cannot achieve real-time conversion between pixels and geographic coordinates, which makes it unable to meet the real-time requirements of random inspections and manual flights by UAVs. In addition, the high hardware cost limits its application in terms of flexibility, real-time performance and economy.

Method used

Through steps such as real-time acquisition of UAV data, data fusion preprocessing, construction of the view frustum model, integration of multi-source data, and calculation of geographic coordinates, the real-time conversion of pixel coordinates to geographic latitude and longitude is achieved, including UAV attitude data filtering, time synchronization, dynamic updating of the view frustum model, and elevation error compensation.

Benefits of technology

It enables real-time geographic information extraction from drones during random inspections and manual flights, reduces hardware costs, improves data processing efficiency, and is applicable to various application scenarios such as agricultural monitoring and urban planning.

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Abstract

The application provides a real-time conversion method for pixels and geographic latitude and longitude in low-altitude photogrammetry, which comprises the following three parts: unmanned aerial vehicle capability confirmation, real-time conversion service implementation deployment for pixels and geographic latitude and longitude in low-altitude photogrammetry, and GIS geographic information platform integration docking. Through real-time data collected by an unmanned aerial vehicle, combined with a computer vision algorithm and a spatial geometric transformation model, the specific pixel points in image data are associated with real geographic coordinates, so that accurate positioning and measurement of ground objects are realized. The application relates to the technical field of low-altitude photogrammetry, and through the cooperative work of real-time data collection by an unmanned aerial vehicle, real-time conversion service for pixels and geographic latitude and longitude in low-altitude photogrammetry, and a GIS geographic information platform, efficient mapping from a photographed image to a geographic coordinate is realized, and accurate and rapid technical support is provided for low-altitude photogrammetry.
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