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作 者:贲畅 陈晓露[1] 闯家亮[1] 杜叶宣 BEN Chang;CHEN Xiao-lu;CHUANG Jia-liang;DU Ye-xuan(North China Research Institute of Electro-Optics,Beijing 100015,China)
出 处:《红外》2023年第5期8-14,共7页Infrared
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实现广域高分辨率成像,提升系统的探测识别能力,但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,讨论经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。Distributed opto-electronic cooperation is an efficient way to enhance the detection and recognition ability of single-machine opto-electronic load.Comprehensive processing of collected images is the founda-tion of collaborative applications.Multi source image super-resolution reconstruction,multi-source image in-formation fusion,and multi-view image mosaic stitching can achieve wide-area high-resolution imaging and improve the detection and recognition capabilities of the system.However,the improvement of the practical ability of distributed opto-electronic systems still needs to be verified.Therefore,a distributed opto-elec-tronic cooperative partial-real simulation platform was established to discuss the image performance after comprehensive processing.The results show that image mosaic of 4-channel videos can be completed simulta-neously,and the isotropic local contrast ratio and perceived contrast ratio of the fused image are improved.The peak signal-to-noise ratio of the reconstructed image is increased by 30.88%,which can improve the re-connaissance effect to a certain extent.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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