分布式光电协同图像综合处理技术 |
投稿时间:2022-10-25 修订日期:2022-11-03 点此下载全文 |
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中文摘要:分布式光电协同是提升单机光电载荷探测识别能力的有效途径,对采集的图像进行综合处理是协同应用的基础。多源图像超分辨率重建、多源图像信息融合和多视点图像拼接能够达到实现广域高分辨率成像、提升系统探测识别能力的目的,而对分布式光电系统实际能力的提升仍有待验证,因此搭建了分布式光电协同半实物仿真平台,讨论了经过综合处理后的图像性能,结果表明可同时完成4路视频的图像拼接,融合后图像的各向同性局部对比度和感知对比度有所提升,且重建后图像的峰值信噪比提升了30.88%,在一定程度上可提升侦察效果。 |
中文关键词:分布式系统 多视点 协同侦察 光电成像 |
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Research on distributed photoelectric cooperative image processing technology |
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Abstract:Distributed opto-electronic cooperation was an efficient approach to improve the system capability of detection and recognition and comprehensively processing the collected images was the baisis of distributed photoelectric image collaborative application.Multi-source image super-resolution reconstruction, multi-source image information fusion and multi-view image mosaic coule get wide area and high resolution image and improve the capability of detection and recognition. However,it was not verified whether it could improve the distributed opto-electronic sysytem in reality.So a distributed opto-electronic cooperative partial-real simulation platform was built and the performance of comprehensively disposed image was discussed.The results showed that image mosaic on 4-channel videos could be completed and both the local contrast ratio and perceived contrast ratio of fused image was improved.Also,the peak SNR of reconstructed image was increased by 30.88% so that the reconnaissance performance could be improved. |
keywords:Distributed system Multi-View Cooperative reconnaissance electro-optical imaging |
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