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Research on Agricultural Panorama Intelligent Monitoring and Early Warning System

机译:农业全景智能监测预警系统研究

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摘要

Aiming at the limitations, dispersion and redundancy of randomly collected images of agricultural surveillance field cameras, a multi-camera system panoramic intelligent monitoring and early warning method is proposed.Firstly, the multi-camera model is designed by entropy theory to obtain the number of cameras with maximum efficiency. Then, through the registration and fusion of single-frame images, the images are stiched into panoramic images to obtain global information. Finally, the sub-decisions of multiple cameras are combined., get a more reliable early warning judgment.
机译:针对农业监测现场摄像机随机采集图像的局限性、分散性和冗余性,提出了一种多摄像机系统全景智能监测预警方法。首先,利用熵理论设计多摄像机模型,以获得效率最高的摄像机数量。然后,通过单帧图像的配准和融合,将图像粘贴到全景图像中,获得全局信息。最后,将多个摄像头的子决策进行组合。,获得更可靠的早期预警判断。

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