Detection and identification of greenhouse gases using infrared hyperspectral imagery


Thesis Type: Postgraduate

Institution Of The Thesis: Orta Doğu Teknik Üniversitesi, Graduate School of Informatics, Information Systems, Turkey

Approval Date: 2017

Student: YUSUF GÜR

Supervisor: YASEMİN ÇETİN

Abstract:

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.