{"title":"摄影测量辅助的机载激光扫描仪点云条带调整","authors":"Guoyuan Li, G. Su","doi":"10.1109/URS.2009.5137726","DOIUrl":null,"url":null,"abstract":"Airborne LIDAR has obtained more and more attention, especially in the field of 3-D city modeling, surveying and mapping. Laser Scanner Point Clouds strip adjustment plays a very important role in the processing and application of Airborne LIDAR. In this paper, some conventional algorithms of the airborne laser scanner point clouds strip adjustment are reviewed and contrasted, then a new method using the photogrammetric images and relative information such as the EOP(exterior orientation parameters) and IOP(interior orientation parameters)and VLL (Vertical Line Locus)based on object space matching method is introduced. A certain dataset which contains two strips of laser point clouds and the same region photogrammetric images is used to implement the algorithm. The result of experiment validates this method and future work and research direction is discussed.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Airborne laser scanner point clouds strip adjustment aided by photogrammetry\",\"authors\":\"Guoyuan Li, G. Su\",\"doi\":\"10.1109/URS.2009.5137726\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Airborne LIDAR has obtained more and more attention, especially in the field of 3-D city modeling, surveying and mapping. Laser Scanner Point Clouds strip adjustment plays a very important role in the processing and application of Airborne LIDAR. In this paper, some conventional algorithms of the airborne laser scanner point clouds strip adjustment are reviewed and contrasted, then a new method using the photogrammetric images and relative information such as the EOP(exterior orientation parameters) and IOP(interior orientation parameters)and VLL (Vertical Line Locus)based on object space matching method is introduced. A certain dataset which contains two strips of laser point clouds and the same region photogrammetric images is used to implement the algorithm. The result of experiment validates this method and future work and research direction is discussed.\",\"PeriodicalId\":154334,\"journal\":{\"name\":\"2009 Joint Urban Remote Sensing Event\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Joint Urban Remote Sensing Event\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/URS.2009.5137726\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Joint Urban Remote Sensing Event","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/URS.2009.5137726","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Airborne laser scanner point clouds strip adjustment aided by photogrammetry
Airborne LIDAR has obtained more and more attention, especially in the field of 3-D city modeling, surveying and mapping. Laser Scanner Point Clouds strip adjustment plays a very important role in the processing and application of Airborne LIDAR. In this paper, some conventional algorithms of the airborne laser scanner point clouds strip adjustment are reviewed and contrasted, then a new method using the photogrammetric images and relative information such as the EOP(exterior orientation parameters) and IOP(interior orientation parameters)and VLL (Vertical Line Locus)based on object space matching method is introduced. A certain dataset which contains two strips of laser point clouds and the same region photogrammetric images is used to implement the algorithm. The result of experiment validates this method and future work and research direction is discussed.