Error correction method and system for synthetic aperture radiometer, terminal equipment and medium

By constructing a near-field error compensation network model, frequency domain feature information of the initial near-field visibility function is extracted and compensated, the problem of overlap blur of bright temperature images in the near-field reconstruction is solved, and high-quality imaging effects are achieved.

CN120352841APending Publication Date: 2025-07-22CENT SOUTH UNIV
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Patent Information

Application Number
CN202510432286.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-08
Publication Date
2025-07-22

AI Technical Summary

Technical Problem

Under near-field conditions, the target signal received by the integrated aperture radiometer is manifested as a spherical wave rather than a plane wave signal, which makes the system's visibility function and the target bright temperature distribution unable to be described by a simple Fourier transform relationship, causing the overlapping blur problem of near-field reconstruction bright temperature images.

Method used

By obtaining the original bright temperature image of the target near-field imaging scene, a near-field error compensation network model is constructed, the frequency domain feature information of the initial near-field visibility function is extracted, error compensation is performed, and the loss function is used for backpropagation until the error is less than the preset threshold, and the corrected reconstructed bright temperature image is obtained.

Benefits of technology

Effectively correct the near-field error, improve the quality of the reconstructed bright temperature image, realize the mapping of the near-field visibility function to the target far-field visibility function in the frequency domain, and flexibly adjust the compensation force to improve the imaging quality.

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Abstract

The invention provides a synthetic aperture radiometer error correction method and system, terminal equipment and a medium, and the method comprises the steps: obtaining an original brightness temperature image of a target near-field imaging scene, and obtaining a corresponding initial near-field visibility function; inputting the initial near-field visibility function into a pre-constructed near-field error compensation network model, extracting frequency domain feature information, and compensating a near-field error to obtain a new near-field visibility function; calculating an error between the new near field visibility function and the target far field visibility function, and if the error is less than or equal to a preset error threshold, performing Fourier transform inversion on the new near field visibility function to obtain a corrected reconstructed brightness temperature image; otherwise, constructing a loss function according to the error, carrying out the back propagation of the near-field error compensation network model, obtaining a trained near-field error compensation network model, and obtaining a corrected reconstructed brightness temperature image based on the trained near-field error compensation network model. The near-field error can be corrected, and the quality of the reconstructed brightness temperature image is improved.
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