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Application of Internet of Things and Remote Sensing Development in Smart Rural Construction

机译:互联网与遥感发展在智能农村建设中的应用

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In a broad sense, the construction of smart villages includes the infrastructure layer and the smart application layer. The infrastructure layer should be the construction of power grid, followed by the construction of the Internet of Things and communication network, and finally the construction of the corresponding data platform. The construction of the smart application layer consists of five smart application layers: ecology, industry, governance, local customs and people's livelihood. In this paper, feature points are extracted and matched, and then the image of the test area is obtained by iterative Mosaic of the overall optimization. Experimental results show that the average detection accuracy of Faster R-CNN on UAV remote sensing images reaches 90.29%, which can meet the detection requirements.
机译:在广泛的意义上,智能村的建设包括基础设施层和智能应用层。 基础设施层应该是电网的构造,其次是建造事物和通信网络,最后建造相应的数据平台。 智能应用层的构造包括五个智能应用层:生态,行业,治理,当地习俗和人民的生计。 在本文中,提取和匹配特征点,然后通过整体优化的迭代马赛克获得测试区域的图像。 实验结果表明,UAV遥感图像上更快的R-CNN的平均检测精度达到90.29%,可以满足检测要求。

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