Multi-function analysis of hyperspectral data

• Autorzy: Rutkowski R. , Kastek M. , Madura H. , Sosnowski T.
• Języki publikacji: EN

Abstrakty

EN

Paper is about a new method of detection and identification of gases using an infrared imaging Fourier-transform spectrometer. It’s focused on using a multi-function toolbox to get the best results possible. New interface introduces a chain of operations that allows the user to set a sequence of functions for the data analysis. It’s focused on combining methods of detection like using a sequence of filters for gases detections. Also new functions can be added by any user.

Słowa kluczowe

EN

hyperspectral detection; infrared imaging; spectroradiometer

• Wydawca: Wydawnictwo PAK
• Czasopismo: Measurement Automation Monitoring
• Rocznik: 2017
• Tom: Vol. 63, No. 2
• Strony: 57--59
• Opis fizyczny: Bibliogr. 7 poz., rys., wykr.

Twórcy

autor

Rutkowski R.

• Military University of Technology, Institute of Optoelectronics 2 Gen. Sylwestra Kaliskiego Str., 00-908 Warsaw, Poland

autor

Kastek M.

• Military University of Technology, Institute of Optoelectronics 2 Gen. Sylwestra Kaliskiego Str., 00-908 Warsaw, Poland

autor

Madura H.

• Military University of Technology, Institute of Optoelectronics 2 Gen. Sylwestra Kaliskiego Str., 00-908 Warsaw, Poland

autor

Sosnowski T.

• Military University of Technology, Institute of Optoelectronics 2 Gen. Sylwestra Kaliskiego Str., 00-908 Warsaw, Poland

Bibliografia

• [1] Harig R., Matz G.: Toxic Cloud Imaging by Infrared Spectrometry: A Scanning FTIR System for Identification and Visualization. Field Analytical Chemistry and Technology, 5(1-2), 75-90, (2001).
• [2] Griffin M. K., Kerekes J. P., Farrar K. E., Burke H.-H. K.: Characterization of Gaseous Effluents from Modeling of LWIR Hyperspectral Measurements, Proc. of SPIE, 4381, 360-369, (2001).
• [3] Tremblay P., Savary S., Rolland M., Villemaire A., Chamberland M., Farley V.: Standoff gas identification and quantification from turbulent stack plumes with an imaging Fourier-transform spectrometer. Proc. of SPIE, 7673, 76730H, (2010).
• [4] Spisz T. S., Murphy P. K., Carter C. C., Carr A. K., Vallières A., Chamberland M.: Field test results of standoff chemical detection using the FIRST. Proc. of SPIE, 6554, 655408, (2007).
• [5] Farley V., Chamberland M., Lagueux P. et all: Vallières A., Villemaire A., Giroux J.: Chemical agent detection and identification with a hy-perspectral imaging infrared sensor. Proc. SPIE, 6661,66610L, 2007.
• [6] Kastek M., Piątkowski T., Trzaskawka P.: Infrared imaging Fourier transform spectrometer as the stand–off gas detection systems, Metrol. and Measurement Systems, Vol. XVIII, No. 4, pp. 607-620, (2011).
• [7] Kastek M., Piątkowski T., Dulski R., Chamberland M., Lagueux P., Farley V.: Hyperspectral Imaging Infrared Sensor Used for Chemical Agent Detection and Identification. Sym. on Phot. and Opto. SOPO 2012, art. no. 6270545 (2012).

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).