{"title":"基于机载激光雷达点云数据的DEM提取方法","authors":"Hui Wang, Yang Zhang, Peng-cheng Li, Xuan Zha","doi":"10.1109/JURSE.2013.6550654","DOIUrl":null,"url":null,"abstract":"LiDAR data is the new source of obtaining DEM. In this paper, an acquiring DEM method using this data source is promoted, which firstly screens the last and single return waves, then builds TIN to acquire the nearby points' information of each point which helps filtering, lastly removes the isolated points and generates DEM. The experimental results show that this method is available and effective.","PeriodicalId":370707,"journal":{"name":"Joint Urban Remote Sensing Event 2013","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A method of deriving DEM from airborne LiDAR points cloud data\",\"authors\":\"Hui Wang, Yang Zhang, Peng-cheng Li, Xuan Zha\",\"doi\":\"10.1109/JURSE.2013.6550654\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"LiDAR data is the new source of obtaining DEM. In this paper, an acquiring DEM method using this data source is promoted, which firstly screens the last and single return waves, then builds TIN to acquire the nearby points' information of each point which helps filtering, lastly removes the isolated points and generates DEM. The experimental results show that this method is available and effective.\",\"PeriodicalId\":370707,\"journal\":{\"name\":\"Joint Urban Remote Sensing Event 2013\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-04-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Joint Urban Remote Sensing Event 2013\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/JURSE.2013.6550654\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Joint Urban Remote Sensing Event 2013","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/JURSE.2013.6550654","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A method of deriving DEM from airborne LiDAR points cloud data
LiDAR data is the new source of obtaining DEM. In this paper, an acquiring DEM method using this data source is promoted, which firstly screens the last and single return waves, then builds TIN to acquire the nearby points' information of each point which helps filtering, lastly removes the isolated points and generates DEM. The experimental results show that this method is available and effective.