一种面向舰船检测的多源遥感影像融合方法、介质及系统

By constructing an electromagnetic scattering constraint model and an information diffusion heat conduction equation, the problem of lack of physical model constraints when fusing synthetic aperture radar images and multispectral images is solved, thereby achieving physical consistency of the fusion results and improving detection accuracy.

CN121767796BActive Publication Date: 2026-07-17CHINESE PEOPLES LIBERATION ARMY UNIT 95291

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHINESE PEOPLES LIBERATION ARMY UNIT 95291
Filing Date
2025-12-24
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

The lack of physical model constraints in the fusion of existing synthetic aperture radar (SAR) images and multispectral images leads to poor physical consistency of the fusion results, affecting the accuracy of ship detection.

Method used

An electromagnetic scattering constraint model for ship targets is constructed. Based on the physical optics approximation principle and geometric diffraction theory, the predicted value of the target backscattering cross section is calculated. A fusion cost function is introduced for physical constraints. Image fusion is performed by combining adaptive feature weighting and information diffusion heat conduction equation.

Benefits of technology

It improves the reliability of fusion results under different sea conditions and target types, ensures that the radar intensity characteristics of ship targets are consistent with the predictions of the physical model, and enhances the accuracy and robustness of detection.

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Abstract

本发明提供一种面向舰船检测的多源遥感影像融合方法、介质及系统,属于遥感影像技术领域,本发明通过对合成孔径雷达影像进行相干斑抑制并提取全极化特征向量,构建基于物理光学近似和几何绕射理论的电磁散射约束模型计算目标后向散射截面预测值并引入融合代价函数,采用自适应特征加权模型生成融合权重矩阵并通过超复数小波变换对影像进行多尺度融合,利用信息扩散热传导方程迭代优化融合结果并进行物理一致性校正输出增强融合影像,解决了合成孔径雷达影像与多光谱影像融合时缺乏物理模型约束导致融合结果物理一致性差的技术问题。
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