Segmentation of the communication tower and its accessory equipment based on geometrical shape context from 3D point cloud

作     者：Jingru Wang Cheng Wang Xiaohuan Xi Meng Du Pu Wang Sheng Nie 

作者机构：Key Laboratory of Digital Earth ScienceAerospace Information Research InstituteChinese Academy of SciencesBeijingPeople’s Republic of China College of Resources and EnvironmentUniversity of Chinese Academy of SciencesBeijingPeople’s Republic of China International Research Center of Big Data for Sustainable Development GoalsKey Laboratory of Digital Earth ScienceAerospace Information Research InstituteChinese Academy of SciencesBeijingPeople’s Republic of China 

出 版 物：《International Journal of Digital Earth》 (国际数字地球学报（英文）)

年 卷 期：2022年第15卷第1期

页      面：1547-1566页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：funded by Guangxi Natural Science Fund for Innovation Research Team[grant number 2019GXNSFGA245001] High-Level Talent Aggregation Project in Hunan Province,China-Innovation Team[grant number 2019RS1060] 

主　　题：Communication tower(CT) radio frequency equipment(RFE) antenna segmentation point cloud 

摘      要：Communication tower(CT)and its accessory equipment(AE)such as radio frequency equipment(RFE)and antenna,are essential in providing highspeed and stable mobile network *** is necessary to routinely monitor the security and stability of CT and AE for seamless *** is limited research on fine segmentation of communication base station *** paper proposes a method for accurately segmenting the point cloud of the CT and AE from Terrestrial Laser Scanning(TLS)*** first,the CT point cloud is accurately segmented based on region growing and Random Sample Consensus(RANSAC).Then,the point cloud of pole-shaped apart is extended to a certain distance to obtain the buffer point cloud containing *** Differential(ND)clustering is employed to obtain several groups of clusters containing planes,and calculate each plane s filling rate and ***,the cluster type(such as antenna,RFE,or other)is *** experimental results demonstrate that the point-based average F1-score of CTs is 98.70%,the point-based and object-based average F1-scores of antennas are 96.09%and 97.93%,and the corresponding values for the RFE are 89.89%and 90.00%,respectively,indicating the optimal performance of the proposed method.