{"title":"基于多分辨率和方向高程容差的激光雷达数据滤波","authors":"Xiaoming Zhou, Qiuhe Ma, Ersen Li, D. Tang","doi":"10.1109/SOPO.2009.5230291","DOIUrl":null,"url":null,"abstract":"Based on studying the principle of Wavelet Multiresolution Analysis, this paper takes Wavelet into the LIDAR filtering, by making use of pyramid-delaminating theory, the fast organization of raw DSM data comes true, while the computing speed increases and the filtering speed improves. At the same time, by considering the directional elevation tolerance of the whole region in the process of filtering threshold selection, judgement makes better accordance with terrain, and the precision of filtering is improved. At last, experiment is carried out on DSM data obtained by LIDAR, the result proves the validity and advantage of the advanced filtering method. KeywordsLIDAR; DSM; Wavelet transform; Multiresolution analysis; Filter","PeriodicalId":6416,"journal":{"name":"2009 Symposium on Photonics and Optoelectronics","volume":"12 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2009-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Filter of LIDAR Data Based on Multi-Resolution and Directional Elevation Tolerance\",\"authors\":\"Xiaoming Zhou, Qiuhe Ma, Ersen Li, D. Tang\",\"doi\":\"10.1109/SOPO.2009.5230291\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on studying the principle of Wavelet Multiresolution Analysis, this paper takes Wavelet into the LIDAR filtering, by making use of pyramid-delaminating theory, the fast organization of raw DSM data comes true, while the computing speed increases and the filtering speed improves. At the same time, by considering the directional elevation tolerance of the whole region in the process of filtering threshold selection, judgement makes better accordance with terrain, and the precision of filtering is improved. At last, experiment is carried out on DSM data obtained by LIDAR, the result proves the validity and advantage of the advanced filtering method. KeywordsLIDAR; DSM; Wavelet transform; Multiresolution analysis; Filter\",\"PeriodicalId\":6416,\"journal\":{\"name\":\"2009 Symposium on Photonics and Optoelectronics\",\"volume\":\"12 1\",\"pages\":\"1-4\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Symposium on Photonics and Optoelectronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SOPO.2009.5230291\",\"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 Symposium on Photonics and Optoelectronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOPO.2009.5230291","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Filter of LIDAR Data Based on Multi-Resolution and Directional Elevation Tolerance
Based on studying the principle of Wavelet Multiresolution Analysis, this paper takes Wavelet into the LIDAR filtering, by making use of pyramid-delaminating theory, the fast organization of raw DSM data comes true, while the computing speed increases and the filtering speed improves. At the same time, by considering the directional elevation tolerance of the whole region in the process of filtering threshold selection, judgement makes better accordance with terrain, and the precision of filtering is improved. At last, experiment is carried out on DSM data obtained by LIDAR, the result proves the validity and advantage of the advanced filtering method. KeywordsLIDAR; DSM; Wavelet transform; Multiresolution analysis; Filter