A method for end-to-end comprehensive inversion of target infrared intrinsic characteristics

By constructing a target imaging link radiation coupling model and a three-dimensional attitude recognition framework, combined with neural networks, the error problem in target infrared feature inversion was solved, high-precision infrared feature data acquisition was achieved, and the credibility of simulation experiments was improved.

CN115270613BActive Publication Date: 2026-06-30NORTHWESTERN POLYTECHNICAL UNIV
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Patent Information

Application Number
CN202210834914.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-07-16
Publication Date
2026-06-30
Estimated Expiration
2042-07-16

AI Technical Summary

Technical Problem

Existing technologies fail to effectively consider full-link radiative coupling in target infrared feature inversion, resulting in large inversion errors. Especially under motion blur and optical dispersion conditions, it is difficult to accurately extract the infrared features of the target, affecting the credibility of simulation experiments.

Method used

A target imaging link radiation coupling model is constructed. By using a target infrared imaging data extraction method under optical diffusion and a three-dimensional attitude information recognition framework, combined with neural networks and a full-link infrared imaging model, the radiation relationship between the target and the environment is decoupled layer by layer to achieve comprehensive inversion of the target's infrared features.

Benefits of technology

It improves the accuracy of target infrared feature data acquisition, enhances the credibility of simulation verification, and improves the accuracy of weapon and equipment infrared feature data and model verification capabilities.

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Abstract

This invention discloses a comprehensive inversion method for the entire link of target infrared intrinsic characteristics. Starting from the full-link radiation coupling imaging characteristics, a radiation coupling model of the target imaging link is constructed. Based on the coupling model and related infrared BRDF parameters, environmental radiation, atmospheric transmittance, equipment noise, and imaging effects, the comprehensive inversion of the target's intrinsic infrared characteristics is achieved, improving the accuracy of test data and providing accurate target and environmental infrared radiation data and coupling relationship data for model verification and simulation validation, thereby enhancing the credibility of the entire virtual simulation experiment.
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