基于多信息融合技术的国土空间规划体系设计
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引用本文:彭利林.基于多信息融合技术的国土空间规划体系设计[J].计算技术与自动化,2022,(2):158-163
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作者单位
彭利林 (安徽地矿局 安庆测绘技术院安徽 安庆 246003) 
中文摘要:常规技术中国土空间规划体系数据采集效率低、分析能力落后。利用无人机群和嵌入式技术,对国土空间规划信息进行采集。构造了基本的信念分配函数,将每个国土空间规划信息数据簇集的输出特征作为加权原始证据,并对原始证据进行权重分配,将D-S证据理论的融合规则应用于每个簇头,实现多源国土空间规划信息证据的融合,最终输出融合结果。实验结果表明,本方法中国土空间规划信息采集能力强,数据信息处理效率高。
中文关键词:国土空间规划  多信息融合技术  D-S证据理论  嵌入式技术  无人机群
 
Design of Land Space Planning System Based on Multi-information Fusion Technology
Abstract:Onventional technology China's land space planning system has low data collection efficiency and backward analysis capabilities. This study uses UAV swarms and embedded technology to collect land space planning information. A basic belief distribution function is constructed. The output characteristics of each national spatial planning information data cluster are used as weighted original evidence, and the original evidence is weighted. The fusion rules of D-S evidence theory are applied to each cluster head to achieve the fusion of the multiple source land space planning information evidence, and the final output of the fusion result. The test results show that this research method has a strong ability to collect information on territorial and spatial planning and high efficiency of data information processing.
keywords:land space planning  multi-information fusion technology  D-S evidence theory  embedded technology  UAV swarm
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