Data interpretation for spectral sensors with correlated bands

Journal of the Optical Society of America A: Optics and Image Science, and Vision

Volumn 24, Issue 9, 2007, Pages 2864-2870

  Wang, Zhipeng ^a   Tyo, J Scott ^a   Hayat, Majeed M ^b  

^a UNIVERSITY OF ARIZONA   (United States)

^b University of New Mexico   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FUNCTIONAL ANALYSIS; IMAGE SENSORS; INFRARED IMAGING; MULTISPECTRAL SCANNERS; OPTICAL CORRELATION; SPECTRUM ANALYZERS;

BAND SPECTRAL RESPONSE FUNCTIONS; SECOND-ORDER STATISTICAL CLASSIFIERS; SPECTRAL BANDS;

OPTICAL SENSORS;

EID: 36448995471     PISSN: 10847529     EISSN: None     Source Type: Journal    
DOI: 10.1364/JOSAA.24.002864     Document Type: Article

References (21)

1. L. O. Jimenez and D. A. Landgrebe, "Supervised classification in high-dimensional space: geometrical, statistical, and asymptotical properties of multivariate data," IEEE Trans. Syst. Man. Cybern., Part C Appl. Rev. 28, 39-54 (1998).
2. J. A. Richards and X. Jia, Remote Sensing Digital Image Analysis (Springer, 1999).
3. M. E. Leeser, P. Belanovic, M. Estlick, M. Gokhale, J. J. Szymanski, and J. P. Theiler, "Applying reconfigurable hardware to the analysis of multispectral and hyperspectral imagery," Proc. SPIE 4480, 100-107 (2002).
4. D. Manolakis and G. A. Shaw, "Detection algorithms for hyperspectral imaging applications," IEEE Signal Process. Mag. 19, 29-43 (2002).
5. S. Krishna, S. Raghavan, G. von Winckel, P. Rotella, A. Stintz, C. P. Morath, D. Le, and S. W. Kennerly, "Two color InAs/InGaAs dots-in-a-well detector with background-limited performance at 91 K," Appl. Phys. Lett. 82, 2574-2576 (2003).
6. U. Sakoǧlu, J. S. Tyo, M. M. Hayat, S. Raghavan, and S. Krishna, "Spectrally adaptive infrared photodetectors using bias-tunable quantum dots," J, Opt. Soc. Am. B 21, 7-17 (2004).
7. U. Sakoǧlu, M. M. Hayat, J. S. Tyo, P. Dowd, S. Annamalai, K. T. Posani, and S. Krishna, "Statistical adaptive sensing using detectors with spectrally overlapping bands," Appl. Opt. 45, 7224-7234 (2006).
8. H. H. Barrett and K. J. Myers, Foundations of Image Science (Wiley-Interscience, 2003).
9. J. W. Boardman, "Analysis, understanding, and visualization of hyperspectral data as convex sets in n-space," Proc. SPIE 2480, 14-22 (1995).
10. J. S. Tyo, A. Konsolakis, D. I. Diersen, and R. C. Olsen, "Principal-components-based display strategy for spectral imagery," IEEE Trans. Geosci. Remote Sens. 41, 708-720 (2003).
11. J. W. Boardman, "Automating spectral unmixing of AVIRIS data using convex geometry concepts," in Summaries of the 4th Annual JPL Airborne Geoscience Workshop, R. O. Green, ed. (Jet Propulsion Laboratory, 1993), JPL Pub 93-26, pp. 11-26.
12. J. C. Harsanyi and C.-I. Chang, "Hyperspectral image classification and dimensionality reduction: an orthogonal subspace projection approach," IEEE Trans. Geosci. Remote Sens. 32, 779-785 (1994).
13. G. Healey and D. Slater, "Models and methods for automated material identification in hyperspectral imagery acquired under unknown illumination and atmospheric conditions," IEEE Trans. Geosei. Remote Sens. 37, 2706-2717 (1999).
14. ASTER spectral library, http://speclib.jpl.nasa.gov/.
15. Note that the 7-band data has nearly identical classification performance to the 50-band data for second-order classifiers. This artificially high rate is due to the fact that there is no additional noise added in the synthesis process.
16. G. H. Golub and C. F. van Loan, Matrix Computations (Johns Hopkins U. Press, 1983).
17. I. Daubecheis, Ten Lectures on Wavelets (SIAM, 1992), pp. 53-106.
18. N. Keshava and J. F. Mustard, "Spectral unmixing," IEEE Signal Process. Mag. 19, 44-57 (2002).
19. W. R. Bell, "MTI: overview," Proc. SPIE 4381, 173-183 (2001).
20. G. Vane, R. Green, T. Chrien, H. Enmark, E. Hansen, and W. Porter, "The airborne visible infrared imaging spectrometer," Remote Sens. Environ. 44, 127-143 (1993).
21. J. S. Pearlman, P. S. Barry, C. C. Segal, J. Shepanski, D. Beiso, and S. L. Carman, "Hyperion, a space-based imaging spectrometer," IEEE Trans. Geosci. Remote Sens. 41, 1160-1173 (2003).