New Trends in Laser Scanning for Cultural Heritage
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-1894-0_10
Reference42 articles.
1. Yang K, Bi S, Dong M (2020) Lightningnet: fast and accurate semantic segmentation for autonomous driving based on 3D LIDAR point cloud. In: 2020 IEEE International Conference on Multimedia and Expo (ICME), pp 1–6
2. Crommelinck S, Höfle B (2016) Simulating an autonomously operating low-cost static terrestrial LiDAR for multitemporal maize crop height measurements. Remote Sens 8
3. Poux F, Billen R (2019) A smart point cloud infrastructure for intelligent environments. In: Laser Scanning. CRC Press, pp 127–149
4. Huang X, Mei G, Zhang J (2020) Feature-metric registration: a fast semi-supervised approach for robust point cloud registration without correspondences. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 11366–11374
5. Nurunnabi A, West G, Belton D (2015) Outlier detection and robust normal-curvature estimation in mobile laser scanning 3D point cloud data. Pattern Recognit 48:1404–1419. https://doi.org/10.1016/j.patcog.2014.10.014
Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A systematic literature review of low-cost 3D mapping solutions;Information Fusion;2025-02
2. A preliminary study of culturally modified sugarbag trees in the Laura Sandstone Basin, Cape York Peninsula, Queensland;Queensland Archaeological Research;2024-09-03
3. Exploring the Use of LiDAR in Smartphones: Documenting the Frontispiece of Saint Francis of Assisi Church in Ouro Preto, Brazil;International Journal of Architectural Heritage;2024-04-17
4. Low-Cost Data, High-Quality Models: A Semi-Automated Approach to LOD3 Creation;ISPRS International Journal of Geo-Information;2024-04-03
5. Comparative Evaluation of LiDAR systems for transport infrastructure: case studies and performance analysis;European Journal of Remote Sensing;2024-02-16
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3