Gas Detection in Longwave Infrared Hyperspectral Imagery and Black Body Effect Compensation

Date

2015-05-19

Author

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

318
views

0
downloads

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 detection accuracy in long-wave hyperspectral imagery.

Subject Keywords

Infrared hyperspectral imaging, Gas detection, Black body effect

URI

https://hdl.handle.net/11511/55165

Conference Name

23nd Signal Processing and Communications Applications Conference (SIU)

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...
Absorbance Estimation and Gas Emissions Detection in Hyperspectral Imagery Başkurt, Nur Didem; Gur, Yusuf; Omruuzun, Fatih; Çetin, Yasemin (2016-05-19) 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.
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...
Radiation of dipoles in multilayered cylinder with ferrite layer Aydin, O; Hizal, A (1996-07-26) Radiation characteristics of infinitesimal dipole in multilayered circular cylindrical structure including gyromagnetic media are investigated. Transversal field equations in spectral domain are obtained for gyromagnetic medium in cylindrical coordinates. These expressions are formed into a set of linear differential equations. The solution at each layer is expressed in terms of state transition matrices. Fields are matched at the interfaces. Far fields are evaluated asymptotically. The effects of changing ...
Atmospheric Effects Removal for the Infrared Image Sequences Ozsarac, Seckin; Akar, Gözde (2015-09-01) Accurate correction of atmospheric effects on data captured by an infrared (IR) camera is crucial for several applications such as vegetation monitoring, temperature monitoring, satellite images, hyperspectral imaging, numerical model simulations, surface properties characterization, and IR measurement interpretation. Atmospheric effects depend on the temporal changes, i. e., year, season, day, hour, etc., and on the geometry between the camera and the measured scene, i. e., line of sight. The orientation a...

Citation Formats

F. Omruuzun and Y. Çetin, “Gas Detection in Longwave Infrared Hyperspectral Imagery and Black Body Effect Compensation,” presented at the 23nd Signal Processing and Communications Applications Conference (SIU), Malatya, TURKEY, 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55165.