Butane Gas Detection in Hyperspectral LWIR Data

Safak Ozturk, Yunus Emre Esin, O. Ozdil, Yunus Can Bilge
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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..
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高光谱LWIR数据中的丁烷气体检测
日益严重的空气污染、温室气体和工业有毒气体的排放会造成严重的污染和气候变化。因此,气体的探测是当今最重要的遥感课题之一。利用高光谱传感器数据进行气体检测和分类是可用于此目的的方法之一。在本研究中,描述了一种使用高光谱LWIR数据检测丁烷气体的示例性方法。
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