Absorbance Estimation and Gas Emissions Detection in Hyperspectral Imagery

Date

2016-05-19

Author

Başkurt, Nur Didem
Gur, Yusuf
Omruuzun, Fatih
Çetin, Yasemin

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

224
views

0
downloads

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.

Subject Keywords

Infrared hyperspectral imaging, Remote sensing, Gas detection

URI

https://hdl.handle.net/11511/55944

Collections

Graduate School of Informatics, Conference / Seminar

Suggestions

OpenMETU
Core

GAS DETECTION BY USING TRANSMITTANCE ESTIMATION AND SEGMENTATION APPROACHES 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...
Analysis of near-field ultra-wideband radar imaging algorithms Arabacı, Ahmet; Koç, Seyit Sencer; Department of Electrical and Electronics Engineering (2017) Recently, near-field ultra-wideband radar imaging algorithms have an important place in short range imaging applications by providing high resolution in both range and cross-range. In this study, the near-field ultra-wideband radar imaging algorithms in the literature such as Holographic Image Reconstruction Algorithm, Range Migration Algorithm, MIMO Based Range Migration Algorithm and MIMO Based Kirchhoff Migration Algorithm have been implemented using MATLAB. The algorithms are applied to modeled transmit...
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...

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.