{"title":"MATLAB tools for lidar data conversion, visualization, and processing","authors":"Xiao Wang, Kai Zhou, Jie Yang, Yilong Lu","doi":"10.1117/12.912529","DOIUrl":null,"url":null,"abstract":"LIDAR (LIght Detection and Ranging) [1] is an optical remote sensing technology that has gained increasing acceptance for topographic mapping. LIDAR technology has higher accuracy than RADAR and has wide applications. The relevant commercial market for LIDAR has developed greatly in the last few years. LAS format is approved to be the standard data format for interchanging LIDAR data among different software developers, manufacturers and end users. LAS data format reduces the data size compared to ASCII data format. However, LAS data file can only be visualized by some expensive commercial software. There are some free tools available, but they are not user-friendly and have less or poor visualization functionality. This makes it difficult for researchers to investigate and use LIDAR data. Therefore, there is a need to develop an efficient and low cost LIDAR data toolbox. For this purpose we have developed a free and efficient Matlab tool for LIDAR data conversion, visualization and processing.","PeriodicalId":194292,"journal":{"name":"International Symposium on Lidar and Radar Mapping Technologies","volume":"105 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Symposium on Lidar and Radar Mapping Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.912529","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
LIDAR (LIght Detection and Ranging) [1] is an optical remote sensing technology that has gained increasing acceptance for topographic mapping. LIDAR technology has higher accuracy than RADAR and has wide applications. The relevant commercial market for LIDAR has developed greatly in the last few years. LAS format is approved to be the standard data format for interchanging LIDAR data among different software developers, manufacturers and end users. LAS data format reduces the data size compared to ASCII data format. However, LAS data file can only be visualized by some expensive commercial software. There are some free tools available, but they are not user-friendly and have less or poor visualization functionality. This makes it difficult for researchers to investigate and use LIDAR data. Therefore, there is a need to develop an efficient and low cost LIDAR data toolbox. For this purpose we have developed a free and efficient Matlab tool for LIDAR data conversion, visualization and processing.
LIDAR (LIght Detection and Ranging)[1]是一种光学遥感技术,在地形测绘中得到越来越多的认可。激光雷达技术比雷达具有更高的精度,具有广泛的应用前景。激光雷达的相关商业市场在过去几年中有了很大的发展。LAS格式被批准为不同软件开发商、制造商和最终用户之间交换激光雷达数据的标准数据格式。与ASCII数据格式相比,LAS数据格式减少了数据大小。然而,LAS数据文件只能通过一些昂贵的商业软件进行可视化。有一些免费的工具可用,但它们不是用户友好的,并且具有较少或较差的可视化功能。这使得研究人员难以调查和使用激光雷达数据。因此,有必要开发一种高效、低成本的激光雷达数据工具箱。为此,我们开发了一个免费、高效的Matlab工具,用于激光雷达数据的转换、可视化和处理。