{"title":"利用机载激光雷达数据在城市地区自动生成DTM","authors":"Junhua Xiong, Yuan-min Fang, Baoxuan Jin, Zhenfeng Zhao","doi":"10.1109/IHMSC.2012.52","DOIUrl":null,"url":null,"abstract":"This paper proposes a new method for the automatic generation of a digital terrain model (DTM) from airborne laser scanning technique. First, generate regular grids, and then filter the points on each regular grid. Finally, change the size of grid and filter these points on the new grids repeatedly. The data measured by LiteMapper-5600 in a city is used to evaluate the method. The results show that this method can remove most of non-ground points effectively and generate DTM with the high-accuracy in urban areas.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Automated DTM Generation in Urban Areas with Airborne LiDAR Data\",\"authors\":\"Junhua Xiong, Yuan-min Fang, Baoxuan Jin, Zhenfeng Zhao\",\"doi\":\"10.1109/IHMSC.2012.52\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a new method for the automatic generation of a digital terrain model (DTM) from airborne laser scanning technique. First, generate regular grids, and then filter the points on each regular grid. Finally, change the size of grid and filter these points on the new grids repeatedly. The data measured by LiteMapper-5600 in a city is used to evaluate the method. The results show that this method can remove most of non-ground points effectively and generate DTM with the high-accuracy in urban areas.\",\"PeriodicalId\":431532,\"journal\":{\"name\":\"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-08-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IHMSC.2012.52\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IHMSC.2012.52","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automated DTM Generation in Urban Areas with Airborne LiDAR Data
This paper proposes a new method for the automatic generation of a digital terrain model (DTM) from airborne laser scanning technique. First, generate regular grids, and then filter the points on each regular grid. Finally, change the size of grid and filter these points on the new grids repeatedly. The data measured by LiteMapper-5600 in a city is used to evaluate the method. The results show that this method can remove most of non-ground points effectively and generate DTM with the high-accuracy in urban areas.