Detection and identification of greenhouse gases using infrared hyperspectral imagery

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Tezin Türü: Yüksek Lisans

Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Enformatik Enstitüsü, Bilişim Sistemleri Anabilim Dalı, Türkiye

Tezin Onay Tarihi: 2017

Öğrenci: YUSUF GÜR

Danışman: YASEMİN ÇETİN

Özet:

Recently, one of the most critical global environment problems is human and ecological exposure to hazardous wastes from urban, agricultural, industrial and military activities. These wastes often include greenhouse gases like water vapor, carbon dioxide, methane, nitrous oxide, ozone and other organic chemicals. To protect the environment from those gases, hyperspectral imaging can be applied due to its ability to extract large amount of spatial and spectral information. Detection of gases emitted into the atmosphere is a widely studied problem. These studies generally use external information about the scene to determine missing parameters in order to detect and identify gases. In this study, unsupervised detection and identification possibility of different greenhouse gases emitted from various sources in selected regions with infrared hyperspectral imagery will be investigated.