Shipborne optical telescope image despin angular velocity calculation method

By calculating the attitude matrix of the camera coordinate system relative to the geographic coordinate system and using a least-squares noise reduction algorithm, the problem of the shipborne optical telescope rotating around the telescope tube under the swaying of the ship was solved, thus achieving stable image capture and high-quality imaging.

CN122149412APending Publication Date: 2026-06-05CHINA STATE SHIPBUILDING CORP NO 707 RES INST
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA STATE SHIPBUILDING CORP NO 707 RES INST
Filing Date
2026-01-30
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

In existing technologies, shipborne optical telescopes cannot effectively isolate the rotational motion around the telescope tube when the ship is rocking, causing the captured star map to rotate and affecting image stability.

Method used

By establishing the attitude matrix of the camera coordinate system relative to the geographic coordinate system, the rotational angular velocity of the image is calculated, and the least squares noise reduction algorithm is used to remove noise from the inertial navigation device and the rotation mechanism, thereby achieving accurate calculation and stability of the image's rotational angular velocity.

Benefits of technology

Stable image capture was achieved under ship swaying conditions, ensuring a consistent reference coordinate system for each frame and improving image quality.

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Abstract

The application relates to a shipborne optical telescope image despin angular velocity calculation method, which comprises the following steps: 1. based on the ship body pitch angle, the ship body azimuth angle, the ship body roll angle, the camera mounting platform pitch rotation angle and the camera mounting azimuth rotation angle output by a shipborne inertial navigation device, an attitude matrix of a camera coordinate system relative to a geographic coordinate system is established; 2. the attitude matrix of the camera coordinate system relative to the geographic coordinate system established in step 1 is calculated to obtain an attitude matrix of a lens coordinate system at a current time of the camera relative to a lens coordinate system at a previous sampling time, and the obtained attitude matrix of the lens coordinate system relative to the lens coordinate system at the previous sampling time is used to calculate the rotation angular velocity of the image; and 3. the rotation angular velocity of the image obtained in step 2 is subjected to noise reduction processing to remove the angle measurement noise of the inertial navigation device and the angle measurement noise of the rotating mechanism. The application ensures that the reference coordinate systems of each frame of image in the continuously shot images are consistent.
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