Absorbance Estimation and Gas Emissions Detection in Hyperspectral Imagery

Başkurt, Nur Didem
Gur, Yusuf
Omruuzun, Fatih
Çetin, Yasemin
Hyperspectral imaging in gas detection applications is a leading and widely studied research topic thanks to its high spectral resolution and remote detection ability. The main problems in these applications covers the leakage detection, gas identification, and quantification. The proposed algorithm aims to reach the transmittance and absorbance features of the gas and to detect the gaseous region by using the measured radiance data from the hyperspectral infrared sensors.


Başkurt, Nur Didem; Gur, Yusuf; Omruuzun, Fatih; Çetin, Yasemin (2016-09-27)
Hyperspectral imaging for gas detection applications is an under-researched topic. The same gas model is used in most of the gas detection studies in the literature. This model aims to formulate the scene covering the gas emission as well as the background and the atmosphere. Therefore, the model requires prior knowledge on transmittance, emissivity, and temperature values of the components in the scene. The commonly used approaches to estimate these parameters include atmospheric modeling and statistical i...
Computational Spectral Imaging with Photon Sieves
Öktem, Sevinç Figen; Davila, Joseph M. (2016-01-01)
Spectral imaging, the sensing of spatial information as a function of wavelength, is a widely used diagnostic technique in diverse fields such as physics, chemistry, biology, medicine, astronomy, and remote sensing. In this paper, we present a novel computational imaging modality that enables high-resolution spectral imaging by distributing the imaging task between a photon sieve system and a computer. The photon sieve system, coupled with a moving detector, provides measurements from multiple planes. Then ...
Thermal Infrared Hyperspectral Dimension Reduction Experiment Results For Global And Local Information Based Linear Discriminant Analysis
Sakarya, Ufuk (2015-05-19)
Thermal infrared hyperspectral image processing has become an important research topic in remote sensing. One of the research topics in thermal infrared hyperspectral image classification is dimension reduction. In this paper, thermal infrared hyperspectral dimension reduction experiment results for global and local information based linear discriminant analysis is presented. Advantages of the use of not only global pattern information, but also local pattern information are tested in thermal infrared hyper...
Gas Detection in Longwave Infrared Hyperspectral Imagery and Black Body Effect Compensation
Omruuzun, Fatih; Çetin, Yasemin (2015-05-19)
Hyperspectral imaging, as a relatively new remote sensing method, provides dense information regarding the energy absorption and reflection characteristics of materials located in the scene being investigated. Therefore, material detection and identification performance in these images increases as compared to conventional remote sensing methods. Hyperspectral sensors that are operating in infrared regions enables detection of materials in gaseous form. This study proposes a method for improving gas detecti...
Radiometry-based range prediction for mid-and long-wave infrared imaging systems
Turgut, Berk Berkan; Bek, Alpan; Kocaman, Serdar; Department of Micro and Nanotechnology (2018)
The present study is about the mid- and long-wave infrared imaging systems in which radiometry-based range prediction are performed. In this study, radiometry-based de- tection, recognition and identification range prediction equation is derived by using an optical design, optomechanical and optoelectronic structure for particular targets, atmospheric conditions, and backgrounds. Analysis of the atmospheric transmittance value for four different atmospheric conditions at mid- and long-wave is performed in d...
Citation Formats
N. D. Başkurt, Y. Gur, F. Omruuzun, and Y. Çetin, “Absorbance Estimation and Gas Emissions Detection in Hyperspectral Imagery,” 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55944.