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Research on key Technologies of underwater Target Detection

机译:水下目标检测关键技术研究

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The traditional underwater detection methods using sonar have some limitations, for example, in close range detection, the low frequency detection ability of sonar system is weak and the detection accuracy is low. In this paper, a new type of fiber Bragg grating hydrophone which can detect low frequency signals is developed. the hydrogel and fiber grating are combined in structure, and a combined packaging structure is designed, which can effectively improve the low frequency sensitivity of the hydrophone. The new fiber Bragg grating hydrophone works in the frequency range of 50-1000Hz and has good response characteristics for underwater low frequency signals. Underwater optical detection technology has high detection accuracy in close range detection, and will become a powerful supplement to underwater acoustic detection technology. However, in the water environment, the contrast of the image obtained by the optical imaging system is very low, so it is difficult to process and analyze the image information effectively. In this paper, the underwater polarization imaging system and algorithm are studied, and a target enhancement technology of underwater polarization imaging based on generating countermeasure network is proposed.Firstly, the circularly polarized light is used for active illumination, and then the underwater polarization imaging based on Stokes vector is carried out, and the images of different polarization states are collected respectively. finally, these polarization images are input into the generation countermeasure network trained by "combined image restoration of circular polarization and linear polarization", and the polarization images are fused to generate multi-polarization high-resolution fusion images.
机译:使用声纳的传统水下检测方法具有一些限制,例如,在近距离检测中,声纳系统的低频检测能力较弱,检测精度低。本文开发了一种新型纤维布拉格光栅水听器,其可以检测低频信号。水凝胶和光纤光栅在结构中组合,并且设计了组合的包装结构,可以有效地提高水听器的低频灵敏度。新的光纤布拉格光栅水听器在50-1000Hz的频率范围内工作,具有良好的水下低频信号的响应特性。水下光学检测技术在近距离检测中具有高检测精度,并将成为水下声学检测技术的强大补充。然而,在水环境中,由光学成像系统获得的图像的对比度非常低,因此难以有效地处理和分析图像信息。本文研究了水下偏振成像系统和算法,提出了基于产生对策网络的水下偏振成像的目标增强技术。首先,圆偏振光用于主动照明,然后基于水下偏振成像在斯托克斯向量上进行,分别收集不同偏振态的图像。最后,将这些偏振图像输入到由“组合图像恢复的圆偏振和线性偏振”训练的生成对策网络,并且偏振图像被融合以产生多偏振高分辨率融合图像。

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