Optical satellite remote sensing image autonomous accurate positioning method and device

By constructing imaging equations and error equations on the target satellite and acquiring image data using different observation angles, autonomous and precise positioning of optical satellite remote sensing images was achieved. This solved the problem of traditional calibration techniques' dependence on the accuracy of external reference images, and improved calibration accuracy and autonomy.

CN119714353BActive Publication Date: 2025-12-05WUHAN UNIV
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Patent Information

Application Number
CN202411796426.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-12-09
Publication Date
2025-12-05
Estimated Expiration
2044-12-09

AI Technical Summary

Technical Problem

Traditional geometric calibration techniques for remote sensing images based on ground reference data are highly dependent on the accuracy and timeliness of external reference images, which leads to a significant decrease in geometric calibration accuracy.

Method used

By acquiring two image data of the target area from different observation angles using the target satellite's ground-to-ground payload, an imaging equation is constructed. Based on the imaging equation and the latitude and longitude parameters of the corresponding points, an error equation is constructed and linearized to solve for the latitude and longitude of the corresponding points of the satellite and the payload installation angle, thereby achieving autonomous positioning.

Benefits of technology

This improves the autonomy of satellite calibration, freeing satellite geometric calibration from the constraints of the ground calibration field and enhancing calibration accuracy and autonomy.

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Abstract

The application relates to an optical satellite remote sensing image autonomous accurate positioning method and device, wherein the method comprises the following steps: acquiring two image data of a target area and imaging data corresponding to the two image data by a target satellite target ground load at different observation angles, and constructing an imaging equation corresponding to each image data according to the imaging data; constructing an error equation based on the imaging equation, the installation angle of the target ground load and the longitude and latitude information of homonymic points between the two image data; linearizing the error equation to generate a linearized error equation, and solving the linearized error equation to obtain the longitude and latitude of target homonymic points corresponding to the target satellite and the installation angle of the target load, and performing autonomous positioning of the target satellite according to the longitude and latitude of the target homonymic points and the installation angle of the target load. Therefore, the problem that the traditional calibration technology based on ground reference data highly depends on the accuracy and timeliness of external reference images and greatly influences the accuracy of geometric calibration is solved.
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