传感技术学报2025，Vol.38Issue(5)：900-905,6.DOI:10.3969/j.issn.1004-1699.2025.05.019
低空遥感与地面传感网络双采集中的数据融合
Data Fusion in Dual Acquisition of Low Altitude Remote Sensing and Ground Sensing Networks
摘要
Abstract
A data fusion method for the dual acquisition of low altitude remote sensing and ground sensing networks is proposed to ad-dress the problem of strong differences in data features and the presence of noise in the data fusion.The SLIC algorithm is used to set the standard threshold for the fusion area,and the fusion of the same attribute data selected from low altitude remote sensing and ground sensing networks is performed.All minimum and maximum points in the same attribute data set are collected to establish a fitting curve and calculate the amplitude of the data points on the curve.The data points with higher amplitude are treated as noise points and de-noised,and the process is continuously iterated until all noise points in the uniform curve are processed.The one-dimensional and two-dimensional information entropy values of the denoised data are analyzed,feature parameters from different dimensions are extracted,and these feature parameters are used for data convergence and divergence fusion.The simulation data prove that the proposed method has high data fusion accuracy and the corresponding energy consumption is consistently below 0.3 J,which has certain application value.关键词
地面传感网络/数据融合/信息熵/低空遥感/粒子群搜索算法/欧氏距离Key words
ground sensing network/data fusion/information entropy/low altitude remote sensing/particle swarm optimization search al-gorithm/Euclidean distance分类
信息技术与安全科学引用本文复制引用
廖世芳,刘长星,包富华..低空遥感与地面传感网络双采集中的数据融合[J].传感技术学报,2025,38(5):900-905,6.基金项目
咸阳师范学院"青年骨干教师"项目(XSYGG201717) （XSYGG201717）
咸阳师范学院专项科研基金项目(XSYK18054) （XSYK18054）
陕西省普通高等学校优势学科专项资金建设项目(0602) （0602）
