Hao Chen, Yikun Zhang, Dengxin Hua, Qing Yan, Bo Li
{"title":"Study on scanning Mie lidar profile data standardization method","authors":"Hao Chen, Yikun Zhang, Dengxin Hua, Qing Yan, Bo Li","doi":"10.1109/MAPE.2017.8250899","DOIUrl":null,"url":null,"abstract":"For sharing the Mie scattering lidar profile data comes different lidar system, one of key challenge is tacking the heterogeneous format. In this paper, we analyses the temporal and spatial characteristics and two-dimensional structure of the scanning Mie lidar profile data. Based on the principle of scanning Mie lidar, and the meteorological of atmospheric parameters, we proposed a general data standardization and fill method for missing space. Experimental results shows that the method can accurately fill the space position of missing data, and can make scanning Mie lidar profile data standardized. It has realistic significance for sharing and analyzing of atmospheric monitoring lidar data.","PeriodicalId":320947,"journal":{"name":"2017 7th IEEE International Symposium on Microwave, Antenna, Propagation, and EMC Technologies (MAPE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 7th IEEE International Symposium on Microwave, Antenna, Propagation, and EMC Technologies (MAPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MAPE.2017.8250899","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
For sharing the Mie scattering lidar profile data comes different lidar system, one of key challenge is tacking the heterogeneous format. In this paper, we analyses the temporal and spatial characteristics and two-dimensional structure of the scanning Mie lidar profile data. Based on the principle of scanning Mie lidar, and the meteorological of atmospheric parameters, we proposed a general data standardization and fill method for missing space. Experimental results shows that the method can accurately fill the space position of missing data, and can make scanning Mie lidar profile data standardized. It has realistic significance for sharing and analyzing of atmospheric monitoring lidar data.