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ENVI

Spectral Tools References

Spectral Tools References

See the following sections:

Target Detection


X. Jin, S. Paswaters, and H. Cline, "A comparative study of target detection algorithms for hyperspectral imagery," In Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV. Proceedings of SPIE, Vol. 7334, pp. 73341W1-73341W12.

C.-I Chang, J.-M. Liu, B.-C. Chieu, C.-M. Wang, C. S. Lo, P.-C. Chung, H. Ren, C.‑W. Yang, and D.-J. Ma, “A generalized constrained energy minimization approach to subpixel target detection for multispectral imagery,” Optical Engineering, vol. 39, no. 5, pp. 1275-1281, May 2000. (CEM)

H. Ren and C.-I Chang, “Target-constrained interference-minimized approach to subpixel target detection for hyperspectral imagery,” Optical Engineering, vol. 39, no. 12, pp. 3138-3145, December 2000. (TCIMF)

S. Johnson, “Constrained energy minimization and the target-constrained interference-minimized filter,” Optical Engineering, vol. 42, no. 6, pp. 1850-1854, June 2003. (CEM and TCIMF)

S. Kraut, L. L. Scharf, and R. W. Butler, “The adaptive coherence estimator: a uniformly most-powerful-invariant adaptive detection statistic,” IEEE Trans. on Signal Processing, vol. 53, no. 2, pp. 427-438, 2005. (ACE)

D. Manolakis, D. Marden, and G. A. Shaw, “Hyperspectral image processing for automatic target detection applications,” Lincoln Laboratory Journal, vol. 14, pp. 79-116, 2003. (ACE)

J. C. Harsanyi and C.-I Chang, “Hyperspectral image classification and dimensionality reduction: an orthogonal subspace projection approach,” IEEE Trans. On Geoscience and Remote Sensing, vol. 32, no. 4, pp. 779-785, 1994. (OSP)

C.-I Chang, “Further results on relationship between spectral unmixing and subspace projection,” IEEE Trans. on Geosciences and Remote Sensing, vol. 36, pp. 1030-1032, May 1998. (OSP)

C.-I Chang, “Hyperspectral Imaging: Techniques for Spectral Detection and Classification,” Kluwer Academic Publishers, Dordrecht. 2003. (OSP, CEM, TCIMF)

J. W. Boardman, “Leveraging the high dimensionality of AVIRIS data for improved sub-pixel target unmixing and rejection of false positives: mixture tuned matched filtering,” In: 7th JPL Airborne Geoscience Workshop, pp. 55-56, 1998. (MTMF)

Spectral Libraries


Clark, R. N., Swayze, G. A., Gallagher, A., King, T. V. V., and Calvin, W. M., 1993, The U. S. Geological Survey Digital Spectral Library: Version 1: 0.2 to 3.0 mm: U. S. Geological Survey, Open File Report 93-592, p. 1340.

Grove, C. I., Hook, S. J., and Paylor II, E. D., 1992, Laboratory Reflectance Spectra of 160 Minerals, 0.4 to 2.5 Micrometers: Jet Propulsion Laboratory Pub. 92-2.

See ENVI Spectral Libraries for more references.

Pixel Purity Index


Boardman, J. W., Kruse, F. A., and Green, R. O., 1995, Mapping target signatures via partial unmixing of AVIRIS data: in Summaries, Fifth JPL Airborne Earth Science Workshop, JPL Publication 95-1, v. 1, pp. 23-26.

n-D Visualizer


Boardman, J. W., 1993, Automated spectral unmixing of AVIRIS data using convex geometry concepts: in Summaries, Fourth JPL Airborne Geoscience Workshop, JPL Publication 93-26, v. 1, pp. 11 - 14.

Boardman J. W., and Kruse, F. A., 1994, Automated spectral analysis: A geologic example using AVIRIS data, north Grapevine Mountains, Nevada: in Proceedings, Tenth Thematic Conference on Geologic Remote Sensing, Environmental Research Institute of Michigan, Ann Arbor, MI, pp. I-407 - I-418.

Binary Encoding


Goetz, A. F. H., Vane, G., Solomon, J. E., and Rock, B. N., 1985, Imaging spectrometry for earth remote sensing: Science, v. 228, pp. 1147 - 1153.

Mazer, A. S., Martin, M., Lee, M., and Solomon, J. E. (1988). Image processing software for imaging spectrometry data analysis. Remote Sensing of Environment 24(1): pp. 201 - 210.

Spectral Angle Mapper (SAM)


Center for the Study of Earth from Space (CSES), 1992, SIPS User’s Guide, Spectral Image Processing System, Version 1.2, Center for the Study of Earth from Space, Boulder, CO, p. 88.

Kruse, F. A., Lefkoff, A. B., Boardman, J. B., Heidebrecht, K. B., Shapiro, A. T., Barloon, P. J., and Goetz, A. F. H., 1993, The Spectral Image Processing System (SIPS) - Interactive Visualization and Analysis of Imaging Spectrometer Data: Remote Sensing of Environment, Special issue on AVIRIS, May-June 1993, v. 44, pp. 145 - 163.

Linear Spectral Unmixing


Boardman, J. W., 1989, Inversion of imaging spectrometry data using singular value decomposition: in Proceedings, IGARSS’89, 12th Canadian Symposium on Remote Sensing, v. 4., pp. 2069-2072.

Boardman, J. W., 1992, Sedimentary facies analysis using imaging spectrometry: A geophysical inverse problem: Unpublished Ph. D. Thesis, University of Colorado, Boulder, p. 212.

Matched Filtering


Boardman, J. W., Kruse, F. A., and Green, R. O., 1995, Mapping target signatures via partial unmixing of AVIRIS data: in Summaries, Fifth JPL Airborne Earth Science Workshop, JPL Publication 95-1, v. 1, pp. 23-26.

Chen, J. Y. and I. S. Reed, 1987, A detection algorithm for optical targets in clutter, IEEE Trans. on Aerosp. Electron. Syst., V. AES-23, No. 1.

Harsanyi, J. C., and C. I. Chang, 1994, Hyperspectral image classification and dimensionality reduction: An orthogonal subspace projection approach, IEEE Transactions on Geoscience and Remote Sensing, V. 32, pp. 779-785.

Stocker, A., I. S. Reed, and X. Yu, 1990, Multidimensional signal processing for electrooptical target detection, Proc. SPIE Int. Soc. Opt. Eng., V. 1305.

Yu, X., I. S. Reed, and A. D. Stocker, Comparative performance analysis of adaptive multispectral detectors, IEEE Trans. on Signal Processing, V. 41, No. 8.

Continuum Removal


Clark, R. N., and Roush, T. L., 1984, Reflectance spectroscopy: Quantitative analysis techniques for remote sensing applications: Journal of Geophysical Research, v. 89, no. B7, pp. 6329-6340.

Clark, R. N., King, T. V. V., and Gorelick, N. S., 1987, Automatic continuum analysis of reflectance spectra: in Proceedings, Third AIS workshop, 2-4 June, 1987, JPL Publication 87-30, Jet Propulsion Laboratory, Pasadena, California, pp. 138-142.

Green, A. A., and Craig, M. D., 1985, Analysis of aircraft spectrometer data with logarithmic residuals: in Proceedings, AIS workshop, 8-10 April, 1985, JPL Publication 85-41, Jet Propulsion Laboratory, Pasadena, California, pp. 111-119.

Kruse, F. A., Raines, G. L., and Watson, K., 1985, Analytical techniques for extracting geologic information from multichannel airborne spectroradiometer and airborne imaging spectrometer data: in Proceedings, International Symposium on Remote Sensing of Environment, Thematic Conference on Remote Sensing for Exploration Geology, 4th, Environmental Research Institute of Michigan, Ann Arbor, pp. 309-324.

Kruse, F. A., Lefkoff, A. B., and Dietz, J. B., 1993, Expert System-Based Mineral Mapping in northern Death Valley, California/Nevada using the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS): Remote Sensing of Environment, Special issue on AVIRIS, May-June 1993, v. 44, pp. 309 - 336.

Kruse, F. A., and Lefkoff, A. B., 1993, Knowledge-based geologic mapping with imaging spectrometers: Remote Sensing Reviews, Special Issue on NASA Innovative Research Program (IRP) results, v. 8, pp. 3 - 28.

Spectral Feature Fitting


Clark, R. N., Gallagher, A. J., and Swayze, G. A., 1990, Material absorption band depth mapping of imaging spectrometer data using the complete band shape least-squares algorithm simultaneously fit to multiple spectral features from multiple materials: in Proceedings of the Third Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) Workshop, JPL Publication 90-54, pp. 176 - 186.

Clark, R. N., Swayze, G. A., Gallagher, A., Gorelick, N., and Kruse, F. A., 1991, Mapping with imaging spectrometer data using the complete band shape least-squares algorithm simultaneously fit to multiple spectral features from multiple materials: in Proceedings, 3rd Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) workshop, JPL Publication 91-28, pp. 2-3.

Clark, R. N., Swayze, G. A., and Gallagher, A., 1992, Mapping the mineralogy and lithology of Canyonlands, Utah with imaging spectrometer data and the multiple spectral feature mapping algorithm: in Summaries of the Third Annual JPL Airborne Geoscience Workshop, JPL Publication 92-14, v 1, pp. 11-13.

Clark, R. N., and Swayze, G. A., 1995, Mapping minerals, amorphous materials, environmental materials, vegetation, water, ice, and snow, and other materials: The USGS Tricorder Algorithm: in Summaries of the Fifth Annual JPL Airborne Earth Science Workshop, JPL Publication 95-1, pp. 39 - 40.

Crowley, J. K., and Clark, R. N., 1992, AVIRIS study of Death Valley evaporite deposits using least-squares band-fitting methods: in Summaries of the Third Annual JPL Airborne Geoscience Workshop, JPL Publication 92-14, v 1, pp. 29-31.

Swayze, G. A., and Clark, R. N., 1995, Spectral identification of minerals using imaging spectrometry data: evaluating the effects of signal to noise and spectral resolution using the Tricorder Algorithm: in Summaries of the Fifth Annual JPL Airborne Earth Science Workshop, JPL Publication 95-1, pp. 157 - 158.



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