{"title":"高光谱Scheimpflug激光雷达油品分类研究","authors":"K. Chen, Chunsheng Yan","doi":"10.1109/ACP.2018.8595993","DOIUrl":null,"url":null,"abstract":"A Scheimpflug lidar system is built for remotely detecting the hyperspectrum of oil. Eight samples are perfectly distinguished using KNN and SVM algorithms.","PeriodicalId":431579,"journal":{"name":"2018 Asia Communications and Photonics Conference (ACP)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Oil classification research by a hyperspectral Scheimpflug lidar system\",\"authors\":\"K. Chen, Chunsheng Yan\",\"doi\":\"10.1109/ACP.2018.8595993\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A Scheimpflug lidar system is built for remotely detecting the hyperspectrum of oil. Eight samples are perfectly distinguished using KNN and SVM algorithms.\",\"PeriodicalId\":431579,\"journal\":{\"name\":\"2018 Asia Communications and Photonics Conference (ACP)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Asia Communications and Photonics Conference (ACP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACP.2018.8595993\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Asia Communications and Photonics Conference (ACP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACP.2018.8595993","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Oil classification research by a hyperspectral Scheimpflug lidar system
A Scheimpflug lidar system is built for remotely detecting the hyperspectrum of oil. Eight samples are perfectly distinguished using KNN and SVM algorithms.
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