Identification and detection of gaseous effluents from hyperspectral imagery using invariant algorithms

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5425, Issue , 2004, Pages 573-582

  O'Donnell, Erin M ^a   Messinger, David W ^a   Salvaggio, Carl ^a   Schott, John R ^a  

^a ROCHESTER INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Gaseous effluents; Hyperspectral imagery; Invariant algorithms; Plumes; Target detection

Indexed keywords

GAS DETECTION; SPECTRAL ABSORPTION; SPECTRAL ANGLE MAPPERS (SAM);

ABSORPTION; ALGORITHMS; GAS EMISSIONS; MATHEMATICAL MODELS; TARGETS; VECTORS;

IMAGING TECHNIQUES;

EID: 10444241109     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.542426     Document Type: Conference Paper

References (11)

1. K. Lee, A subpixel scale target detection algorithm for hyperspectral imagery. PhD thesis, Rochester Institute of Technology, 2003.
2. J. Schott, K. Lee, R. Raqueño, G. Hoffmann, and G. Healey, "A subpixel target detection technique based on the invariance approach," in AVIRIS Airborne Geoscience workshop Proceedings, February 2003.
3. J. Lisowski and C. Cook, "A svd method for spectral decomposition and classification of ares data," SPIE 2821 (15), pp. 14-19, 1996.
4. B. Thai and G. Healey, "Invariant subpixel material detection in hyperspectral imagery," IEEE Trans. Geo. Rem. Sens. 40(3), pp. 599-608, 2002.
5. S. Young, "Detection and quantification of gases in industrial-stack plumes using thermal-infrared hyper-spectral imaging," Tech. Rep. ATR-2002(8407)-1, Aerospace Corporation, 2002.
6. J. Schott, S. Brown, R. Raqueño, H. Gross, and G. Robinson, "An advanced synthetic image generation model and its application to multi/hyperspectral algorithm development," Can. J. Rem. Sen. 25(2), pp. 99111, 1999.
7. P. Bajorski, E. Ientillucci, and J. Schott, "Comparison of basis-vector selection methods for target and back-ground subspaces as applied to subpixel target detection," in Algorithms and Technologies for Multspectral, Hyperspectral. and Ultraspectral Imagery X, Proceeding of SPIE, v. 5425, 2004.
8. -1 resolution, quantitative, infrared spectral libraries for gas samples," in Vibrational Spectroscopy-Based Sensor Systems, Proceedings of SPIE, v. 4577, S. Christesen and A.J. Sedlacek, III, eds., pp. 12-24, 2001.
9. E. Ientilucci and S. Brown, "Advances in wide area hyperspectral image simulation," in Conference on Targets & Backgrounds IX: Characterization and Representation, Proceedings of SPIE, v. 5075, pp. 110-121, 2003.
10. J. Halitsky, "A jet plume model for short stacks," JAPCA Note-Book 39(6), pp. 856-858, 1989.
11. S. Kuo, J. Schott, and C. Chang, "Synthetic image generation of chemical plumes for hyperspectral applications," Opt. Eng. 39(4), pp. 1047-1056, 2000.