Safak Ozturk, Yunus Emre Esin, O. Ozdil, Yunus Can Bilge
{"title":"高光谱LWIR数据中的丁烷气体检测","authors":"Safak Ozturk, Yunus Emre Esin, O. Ozdil, Yunus Can Bilge","doi":"10.1109/SIU55565.2022.9864828","DOIUrl":null,"url":null,"abstract":"Increasing air pollution, greenhouse gases and the emission of industrial toxic gases can cause serious pollution and climate changes. For this reason, the detection of gases is one of the most important remote sensing topics today. Gas detection and classification using hyperspectral sensor data is one of the methods that can be used for this purpose. In this study, an exemplary method for the detection of butane gas using hyperspectral LWIR data is described..","PeriodicalId":115446,"journal":{"name":"2022 30th Signal Processing and Communications Applications Conference (SIU)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Butane Gas Detection in Hyperspectral LWIR Data\",\"authors\":\"Safak Ozturk, Yunus Emre Esin, O. Ozdil, Yunus Can Bilge\",\"doi\":\"10.1109/SIU55565.2022.9864828\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Increasing air pollution, greenhouse gases and the emission of industrial toxic gases can cause serious pollution and climate changes. For this reason, the detection of gases is one of the most important remote sensing topics today. Gas detection and classification using hyperspectral sensor data is one of the methods that can be used for this purpose. In this study, an exemplary method for the detection of butane gas using hyperspectral LWIR data is described..\",\"PeriodicalId\":115446,\"journal\":{\"name\":\"2022 30th Signal Processing and Communications Applications Conference (SIU)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 30th Signal Processing and Communications Applications Conference (SIU)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIU55565.2022.9864828\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 30th Signal Processing and Communications Applications Conference (SIU)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIU55565.2022.9864828","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Increasing air pollution, greenhouse gases and the emission of industrial toxic gases can cause serious pollution and climate changes. For this reason, the detection of gases is one of the most important remote sensing topics today. Gas detection and classification using hyperspectral sensor data is one of the methods that can be used for this purpose. In this study, an exemplary method for the detection of butane gas using hyperspectral LWIR data is described..