Research on modelling of landscape architecture layout planning based on multi-sensor data fusion

IF 1.5 Q3 TELECOMMUNICATIONS

IET Wireless Sensor Systems Pub Date : 2023-01-13 DOI:10.1049/wss2.12047

Pingfang Wen, Hongwu Xu

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Abstract

In order to improve the rationality of landscape architecture layout planning and reduce the energy consumption in the process of data fusion, a landscape architecture layout planning modelling method based on multi-sensor data fusion is proposed in this study. Firstly, the spatial layer of landscape plants is divided, and the quantitative index value of landscape architecture is calculated by Simpson diversity index. Secondly, the weight of plant index is determined by analytic hierarchy process, and the error of garden image is analysed by unsupervised classification of garden image based on multi-sensor data fusion. Then, the garden image is classified according to the existing template, and the training samples of each category of garden are extracted. Finally, the modelling of landscape architecture layout planning is constructed, and the optimal planning method of landscape architecture layout based on maximum likelihood method is proposed. The experimental results show that this method can effectively reduce the energy consumption in the data fusion process, reduce the probability of damaged nodes becoming cluster heads, improve the stability of landscape forest layout planning method, match the plants according to the plant species, and improve the rationality of landscape architecture layout planning.

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基于多传感器数据融合的园林布局规划建模研究

为了提高景观布局规划的合理性，降低数据融合过程中的能耗，本文提出了一种基于多传感器数据融合的景观布局规划建模方法。首先，对景观植物的空间层次进行划分，利用Simpson多样性指数计算景观建筑的量化指标值。其次，通过层次分析法确定植物指标的权重，并基于多传感器数据融合对花园图像进行无监督分类，分析花园图像的误差。然后，根据现有模板对花园图像进行分类，提取出每一类花园的训练样本。最后，构建了景观布局规划模型，提出了基于最大似然法的景观布局优化规划方法。实验结果表明，该方法可以有效降低数据融合过程中的能耗，降低受损节点成为簇头的概率，提高景观林布局规划方法的稳定性，根据植物种类匹配植物，提高景观建筑布局规划的合理性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IET Wireless Sensor Systems TELECOMMUNICATIONS-

CiteScore

4.90

自引率

5.30%

发文量

审稿时长

33 weeks

期刊介绍： IET Wireless Sensor Systems is aimed at the growing field of wireless sensor networks and distributed systems, which has been expanding rapidly in recent years and is evolving into a multi-billion dollar industry. The Journal has been launched to give a platform to researchers and academics in the field and is intended to cover the research, engineering, technological developments, innovative deployment of distributed sensor and actuator systems. Topics covered include, but are not limited to theoretical developments of: Innovative Architectures for Smart Sensors;Nano Sensors and Actuators Unstructured Networking; Cooperative and Clustering Distributed Sensors; Data Fusion for Distributed Sensors; Distributed Intelligence in Distributed Sensors; Energy Harvesting for and Lifetime of Smart Sensors and Actuators; Cross-Layer Design and Layer Optimisation in Distributed Sensors; Security, Trust and Dependability of Distributed Sensors. The Journal also covers; Innovative Services and Applications for: Monitoring: Health, Traffic, Weather and Toxins; Surveillance: Target Tracking and Localization; Observation: Global Resources and Geological Activities (Earth, Forest, Mines, Underwater); Industrial Applications of Distributed Sensors in Green and Agile Manufacturing; Sensor and RFID Applications of the Internet-of-Things ("IoT"); Smart Metering; Machine-to-Machine Communications.

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