Application of improved Harris Hawks optimization algorithm in patching cloud holes at matching ground points

doi:10.13474/j.cnki.11-2246.2023.0172

Abstract

Abstract: Aiming at the problem that there will be more holes in the UAV matching point cloud after ground point filtering,this paper proposes to use the improved Harris Hawks optimization algorithm to optimize the least squares support vector machine to repair the ground point cloud hole. Firstly,the eight-pronged tree structure method is used to extract ground feature points from the filtered point cloud data. Secondly,the Harris Eagle algorithm is improved by using nonlinear convergence factor and adaptive escape probability strategy,and it is used for parameter optimization of hole repair model of least squares support vector machine. Experimental results show that compared with the conventional least squares support vector machine,the hole repair accuracy of the combined model is improved by 34.3%,and its stability is also enhanced,which has a certain timeliness and reality.

Key words: improved Harris Hawks optimization algorithm, octagonal tree structure method, least squares support vector machine, point cloud hole repair

CLC Number:

P237

ZHANG Yan, LIU Lilong, HE Guanghuan, XU Yong, MENG Jinlong. Application of improved Harris Hawks optimization algorithm in patching cloud holes at matching ground points[J]. Bulletin of Surveying and Mapping, 2023, 0(6): 82-87.

References

[1] 王志岗,江超,杨生春,等. 无人机低空摄影测量技术在植被绿化监测中的应用——以卡洛特水电站为例[J]. 人民长江,2020,51(S2):393-396.
[2] 经皓然,徐敬海. 异形建筑的无人机点云与地面三维激光扫描点云配准[J]. 测绘通报,2022(6):32-39.
[3] 石壮,杜全叶,王庆栋,等. 虚拟格网分类支持下的密集匹配点云布料模拟滤波[J]. 测绘通报,2022(2):73-77.
[4] 李朋飞,张晓晨,严露,等. 复杂地形中机载LiDAR点云构建DEM的插值算法对比[J]. 农业工程学报,2021,37(15):146-153.
[5] 杨永强,李淑红. 最小二乘支持向量机的点云数据孔洞修补算法[J]. 吉林大学学报(理学版),2018,56(3):692-696.
[6] 唐瑞尹,王长伟,张敬,等. 双目视觉的八叉树改进ICP点云配准[J]. 应用激光,2020,40(2):349-353.
[7] 朱清海. 一种基于八叉树车载激光点云的杆式地物批量提取方法[J]. 测绘通报,2019(S2):110-111.
[8] 谢渊,高玮,汪义伟,等. 基于哈里斯鹰优化遗传规划的钢筋混凝土地下结构硫酸盐腐蚀寿命预测[J]. 土木工程学报,2022,55(4):33-41.
[9] 孙世政,刘照伟,张辉,等. 基于HHO-KELM的FBG流量温度复合传感解耦[J]. 光学精密工程,2022,30(11):1290-1300.
[10] 于燕南,戚其松,董青,等. 起重机载荷谱回归预测的LSSVM模型优化研究[J]. 振动与冲击,2022,41(12):215-228.
[11] 张闯,赵修斌,庞春雷,等. LS-SVM辅助的小幅值及缓变故障检测与容错方法[J]. 中国惯性技术学报,2019,27(3):415-420.
[12] MEHRKANOON S. LS-SVM approximate solution to linear time varying descriptor systems[J]. Automatica,2012,48(10):2502-2511.
[13] 庞聪,廖成旺,江勇,等. 基于最小二乘支持向量机与熵特征的地震事件性质辨识研究[J]. 大地测量与地球动力学,2022,42(6):655-660.

[1]	ZHU Teng, GAO Zhaozhong, SHEN Chen, HUANG Tielan, ZHOU Huiyuan. An improved fuzzy Wishart-PSO polarimetric SAR image intelligent clustering algorithm [J]. Bulletin of Surveying and Mapping, 2023, 0(6): 88-92.
[2]	SHEN Xinsu, JI Ling. The improved method of U-type deep learning neural networkfor remote sensing in land type change detection [J]. Bulletin of Surveying and Mapping, 2023, 0(6): 93-97,103.
[3]	ZHANG Longqi, DU Shuai, XIONG Xuping, ZHANG Yuqing. Modeling methodology for fine DEM in urban based on multi-source data [J]. Bulletin of Surveying and Mapping, 2023, 0(6): 124-128.
[4]	SUN Senzhen, JING Liujie, WANG Li. Detection and extraction of tunnel steel arch using point cloud spatial projection features [J]. Bulletin of Surveying and Mapping, 2023, 0(6): 129-133.
[5]	CHEN Qiaoyi, YAN Yufei, HUANG Yongfang. Rural building information extraction using object-oriented and deep belief network [J]. Bulletin of Surveying and Mapping, 2023, 0(6): 134-137.
[6]	LIU Dongzhi, XU Qingling. GF-7 and ZY-3 satellites jointly serve airport clearance monitoring [J]. Bulletin of Surveying and Mapping, 2023, 0(6): 138-141.
[7]	CUI Lei, LIU Yingjie, LU Hongbo, WANG Dongxu. Accuracy evaluation for mobile backpack-mounted scanning system based on standard baseline field [J]. Bulletin of Surveying and Mapping, 2023, 0(6): 142-145,179.
[8]	LIU Min, HUANG Jinhui, PENG Zhenhua, WU Zhenyu. Extraction of shallow water bodies in Shenzhen using 0.5 m resolution satellite data [J]. Bulletin of Surveying and Mapping, 2023, 0(6): 146-149,175.
[9]	FAN Xin, DING Laizhong, LI Ying, WANG Wenjie, CHENG Ming, SONG Huichuan, GAO Shuang, GENG Liyan, LI Chunyi. Remote sensing analysis of the evolution of wandering trends in the lower Yellow River root-shaped channel [J]. Bulletin of Surveying and Mapping, 2023, 0(6): 150-154.
[10]	WANG Limei, WANG Yanzheng. Buildings extraction based on high-resolution remote sensing imagery [J]. Bulletin of Surveying and Mapping, 2023, 0(6): 180-183.
[11]	SHI Zhiyuan, XU Weiming, MENG Hao. An advanced denoising method for full-waveform LiDAR [J]. Bulletin of Surveying and Mapping, 2023, 0(3): 5-9.
[12]	PAN Jianping, CAI Zhuoyan, ZHAO Ruiqi, FU Zhanbao, YUAN Yuxin. Forecasting the surface deformation of unstable slopes based on InSAR and GRU neural network [J]. Bulletin of Surveying and Mapping, 2023, 0(3): 33-38.
[13]	JIA Chen, LIU Xinyi, ZHANG Yongjun, ZHU Xianzhang, REN Weicheng, HE Qing, FENG Yougui. Repetitive texture detection of building facade constrained by baseline [J]. Bulletin of Surveying and Mapping, 2023, 0(3): 49-54.
[14]	DONG Gengzhi, XING Wentai, ZHOU Cheng, CAI Yongdong, ZHANG Hongguang. Road collapse analysis based on InSAR and integrated physical survey methods [J]. Bulletin of Surveying and Mapping, 2023, 0(3): 104-110.
[15]	ZHANG Yue, ZHANG Jin. Frequency domain feature extraction method and application of high-resolution remote sensing image of debris flow [J]. Bulletin of Surveying and Mapping, 2023, 0(3): 111-115.