Application and analysis of real 3D model in topographic map quality inspection

doi:10.13474/j.cnki.11-2246.2023.0252

Abstract

Abstract: To solve the problem that the traditional quality inspection method of surveying and mapping geographic information can not accurately survey difficult terrain, a quality inspection method of topographic map based on real 3D is proposed. The terrain inspection is carried out by using the 3D technology of real scene, and the relevant survey data of complex terrain are obtained by using the tilt photography, and the accuracy is compared with the traditional surveying and mapping results. Therefore, the accuracy of the topographic map quality inspection method based on the 3D technology model of real scene is judged. Through analysis, it is found that in order to improve the efficiency and accuracy of topographic map quality inspection, it is necessary to optimize the image control layout parameters, tilt photogrammetry related parameters, control triangulation and beam method regional adjustment and other ways to carry out topographic map measurement and quality inspection in difficult mapping areas. For the quality inspection of some large-scale topographic maps, it is difficult to extract data and test coverage by traditional quality inspection methods. The topographic map quality inspection method based on 3D model of real scene can improve the accuracy of measurement results and reduce the difficulty of topographic map quality inspection work, which is worth popularizing and applying.

Key words: oblique photogrammetry, accuracy, 3D model, quality testing

CLC Number:

WEN Zhengbing, LI Bingfeng. Application and analysis of real 3D model in topographic map quality inspection[J]. Bulletin of Surveying and Mapping, 2023, 0(8): 167-171,177.

References

[1] 吴弦骏,闻平,吴小东,等. 实景三维模型与BIM技术的集成应用[J]. 地理空间信息,2022,20(9):106-109.
[2] 蔡威,孙训斌,周杰. 基于倾斜摄影测量的实景三维建模及精度分析[J]. 山西建筑,2022,48(19):166-168.
[3] 李鹏,马建芳,张永庭. 实景三维技术在市政亮化工程量核算中的应用[J]. 测绘通报,2022(S2):273-276.
[4] 黄磊,陈尔东昊,何超. 基于LiDAR的大比例尺地形图快速检验[J]. 测绘通报,2022(S2):218-221.
[5] 星锋锋. 基于Context Capture软件的倾斜实景三维模型制作技术探讨[J]. 科技与创新,2022(17):4-6.
[6] 刘传志,王兵. 倾斜摄影实景三维模型在高速公路改扩建勘察设计中的应用[J]. 公路,2022,67(8):69-73.
[7] 李德江,储鼎,费小睿. 实景三维模型与街景数据融合地理场景构建技术应用[J]. 测绘与空间地理信息,2022,45(S1):58-60.
[8] 陈方圆,于洪雨,李雪杉,等. 基于倾斜摄影测量技术的城市实景三维模型制作与质量分析[J]. 测绘与空间地理信息,2022,45(S1):222-223.
[9] 李晓双,许言海,周启迪. 基于实景三维模型的DOM数据生产研究[J]. 测绘与空间地理信息,2022,45(S1):242-244.
[10] 储鼎,许言海,吕剑峰. 基于倾斜摄影的实景三维模型脱密方法探索[J]. 测绘与空间地理信息,2022,45(S1):259-261.
[11] 宋媛媛,张照杰,刘明涛,等. 无人机实景三维模型在大比例尺地形图测绘中的应用[J]. 测绘与空间地理信息,2022,45(6):226-228.
[12] 陈亚彤,曹建君. 实景三维模型在地形图质量检验中的应用研究[J]. 测绘与空间地理信息,2022,45(4):51-53.
[13] 基于倾斜摄影测量技术的大比例尺地形图质量检验[C]//第二十二届华东六省一市测绘学会学术交流会论文集(一). 南京,[s.n.],2021:33-35.
[14] ZHU Ledong,SUN Hao,CHENG Qian,et al. Refined nonlinear mathematical model and parameter identification method of vertical vortex-induced force on a centrally-slotted box deck[C]//Proceedings of abstracts of the 8th International Conference on Vibration Engineering (ICVE 2021).Shanghai:[s.n.],2021.

[1]	MA Deming, ZHANG Xiulin, TIAN Ziwen, WANG Jiaxin. Information extraction method of Enteromorpha prolifera based on UAV remote sensing image [J]. Bulletin of Surveying and Mapping, 2023, 0(8): 24-28.
[2]	LI Mengdi, ZHANG Rui, TANG Hongtao. Micro geomorphic interpretation and extraction of quantitative topographic parameters with the help of tilt photogrammetry [J]. Bulletin of Surveying and Mapping, 2023, 0(8): 40-44,56.
[3]	FENG Xiaoke, Lü Peixian, ZHANG Ka, SHEN Huakang, YE Longjie, ZHAO Na, YANG Ying. The filtering method of airborne LiDAR point cloud for tidal flat DEM construction [J]. Bulletin of Surveying and Mapping, 2023, 0(7): 58-62.
[4]	TAN Mingming, FAN Yaling, Lü Kexin, HAO Shang, XU Tao, CAI Guotian, ZHANG Jie, LI Zhicai. Co-seismic deformation extraction and accuracy analysis of the Maduo Earthquake based on the combined of different global navigation satellite systems [J]. Bulletin of Surveying and Mapping, 2023, 0(7): 80-84.
[5]	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.
[6]	SHI Yuzheng, CHEN Menghua, HUANG Yu, ZHANG Tongyun, ZHOU Xian. The construction of building monomer model framework based on real scene 3D model [J]. Bulletin of Surveying and Mapping, 2023, 0(6): 161-166.
[7]	MA Haichao, WANG Chongchang, HE Zhaoning, XIN Sheng, WANG Lei. Construction of green wave correction normalized water body index for GF-7 images [J]. Bulletin of Surveying and Mapping, 2023, 0(5): 38-43.
[8]	ZHU Linhong, ZHONG Ruofei, WANG Ya, LI Qingyang. Image registration method for improving the positioning accuracy of HISEA-1 SAR image [J]. Bulletin of Surveying and Mapping, 2023, 0(5): 62-66.
[9]	Lü Fuqiang, TANG Shihua, ZHANG Yan, SONG Xiaohui, HU Pengcheng, LI Zhu. Application of SSA-BP neural network in UAV point cloud hole repair [J]. Bulletin of Surveying and Mapping, 2023, 0(5): 130-134.
[10]	WANG Lu, LU Xiaoping, LI Guoli, LI Xiaolei, KANG Aifeng. Calculation method and its application of open-pit mineral reserves of a hybrid interpolation algorithm [J]. Bulletin of Surveying and Mapping, 2023, 0(5): 140-147.
[11]	HUANG Gaoshuang, HUANG Guiping, ZHOU Yang. High-precision measurement method using structure light scanning and optical tracking [J]. Bulletin of Surveying and Mapping, 2023, 0(4): 135-139.
[12]	ZHANG Qingyuan, ZOU Yanlong, LI Jinheng. Application of 3D laser scanning technology in monitoring erosion and spalling of natural relics [J]. Bulletin of Surveying and Mapping, 2023, 0(4): 140-144.
[13]	DING Lele, LIU Yanfei, MENG Fanxiao, ZHANG Tao, WANG Zhen, PAN Yuming. Vehicle clearance based deep learning for oblique 3D model [J]. Bulletin of Surveying and Mapping, 2023, 0(3): 94-98.
[14]	HU Rongming, SU Ruipeng, JING Xia, MI Xiaomei, ZHENG Jiangle. A downhole localization algorithms incorporating improved wavelet denoising and T-Taylor [J]. Bulletin of Surveying and Mapping, 2023, 0(2): 46-51.
[15]	ZHU Shuipeng. The precision control of long distance tunneling through survey for Beijing new airport line [J]. Bulletin of Surveying and Mapping, 2023, 0(2): 172-176,181.