Research on heterogeneous images fusion method based on electro-optical system

The image fusion method based on drones and Synthetic Aperture Radar(SAR) is proposed to demonstrate the technical principles and fusion algorithms. Based on the frequency of optical system and SAR heterogeneous image frame frequency analysis, the principle of time allocation is analyzed, and the Scale Invariant Feature Transform(SIFT) algorithm extraction image feature point is used. Realize the fusion of the standard image. After experimental verification and using MATLAB to analyze the gray diagram and the amount of information of the computing information, the combined image retains the details (entropy) of 95.7%of the optical image. Compared with the SAR image information, it has increased by 1.44 times. Optical images have increased by 1.52 times. Compared with separate optical or SAR reconnaissance images, this technical method improves target clarity and recognition accuracy, and reduces random noise.

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Publication Details

Published
2025-08-15
DOI
https://doi.org/10.1117/12.3072073
Primary Topic
Advanced Measurement and Detection Methods
Type
article
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Research on heterogeneous images fusion method based on electro-optical system

Libing Hou, Fei Ning, Zhiyuan Yu, Fei Guo et al.
Advanced Measurement and Detection Methods
article

Research on heterogeneous images fusion method based on electro-optical system

Libing Hou, Fei Ning, Zhiyuan Yu, Fei Guo, Huilin Wang
article en

Abstract

The image fusion method based on drones and Synthetic Aperture Radar(SAR) is proposed to demonstrate the technical principles and fusion algorithms. Based on the frequency of optical system and SAR heterogeneous image frame frequency analysis, the principle of time allocation is analyzed, and the Scale Invariant Feature Transform(SIFT) algorithm extraction image feature point is used. Realize the fusion of the standard image. After experimental verification and using MATLAB to analyze the gray diagram and the amount of information of the computing information, the combined image retains the details (entropy) of 95.7%of the optical image. Compared with the SAR image information, it has increased by 1.44 times. Optical images have increased by 1.52 times. Compared with separate optical or SAR reconnaissance images, this technical method improves target clarity and recognition accuracy, and reduces random noise.

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Advanced Measurement and Detection Methods
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