Feature extraction and classification using mobile LiDAR data

使用移动激光雷达数据进行特征提取和分类

• 批准号: 469283-2014
• 负责人: AbdElrahman, AhmedShaker
• 金额: $ 1.82万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=563398
• 关键词: Feature; extraction; classification; using; mobile

LiDAR (Light Detection and Ranging) mobile mapping systems are collecting 3D topographic data to serve engineering and surveying purposes. Processing of the bulky data collected is one of the problems that might face users using such a relatively new technology. Up-to-date, the process of LiDAR mobile system data involves an intensive amount of manual operations for digital feature extraction and results verification. Based on the previous research on airborne LiDAR data by the applicant's team, this Engage Grant will fine-tune the developed radiometric correction, feature extraction and data classification approaches to fit with data collected by LiDAR mobile systems. Tulloch Engineering, an Ontario-based land surveying and geomatics consultancy firm, has recently acquired its first land-based mobile mapping system, including a mobile LiDAR and a video camera sensor. The applicant's team will assist Tolluch to streamline the data processing workflow so as to minimize the processing time and the involvement of manual operations. The developed techniques and

LiDAR（光探测和测距）移动的测绘系统正在收集3D地形数据，以服务于工程和测量目的。使用这种相对较新的技术的用户可能面临的问题之一是如何处理收集到的大量数据。迄今为止，LiDAR移动的系统数据的处理涉及大量的用于数字特征提取和结果验证的手动操作。基于申请人团队先前对机载激光雷达数据的研究，该Engage Grant将微调已开发的辐射校正、特征提取和数据分类方法，以适应激光雷达移动的系统收集的数据。Tulloch Engineering是一家位于安大略省的土地测量和地理信息咨询公司，最近收购了其第一个陆基移动的测绘系统，包括一个移动的激光雷达和一个摄像机传感器。申请人的团队将协助Tolluch简化数据处理工作流程，以尽量减少处理时间和人工操作。先进的技术和