Noise effect on linear spectral unmixing

Geographic Information Sciences

Volumn 5, Issue 1, 1999, Pages 52-57

  Gong, P ^a   Zhang, A ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALGARY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0038054805     PISSN: 10824006     EISSN: None     Source Type: Journal    
DOI: 10.1080/10824009909480514     Document Type: Article

References (26)

1. Adams, J. B., Smith, M.O., Gillespie, A.R., 1989, Simple models for complex natural surfaces: a strategy for the hyperspectral era of remote sensing, Proceedings of the IGARSS’89, Vancouver, British Columbia, Canada, pp.16-21.
2. Adams, J.B., Smith, M.O., P.E. Johnson, 1986, Spectral mixture modeling: a new analysis of rock and soil types at the Viking Lander 1 site, Journal of Geophysical Research, 91: 8098-8112.
3. Babey, S. K. and R.J. Soffer, 1992, Radiometric calibration of the compact airborne spectrographic imager (GASI), Canadian Journal of Remote Sensing, 18(4):233-242.
4. Blunt, G., M.O. Smith, J.B. Adams, R. Greeley, P.R. Christensen, 1990, Regional aerolian dynamics and sand mixing in the Gran Desierto: evidence from Landsat Thematic Mapper images, Journal of Geophysical Research, 95: 15463-15482.
5. Boardman, J. W., 1989, Inversion of imaging spectrometry data using singular value decomposition. Proceedings of the IGARSS’89, Vancouver, British Columbia, Canada, pp.2069-2072.
6. Chavez, P. S., Jr., 1989, Radiometric calibration of Landsat thematic mapper multispectral images, Photogrammetric Engineering & Remote Sensing, Vol 55, No. 9, pp. 1285-1294.
7. Cross, A. M., J.J. Settle, N.A. Drake Paivinen, 1991, Subpixel measurement of tropical forest cover using AVHRR data. International Journal of Remote Sensing, 12: 1119-1129.
8. Ehrlich, R. and W.E. Full, 1987, Sorting out geology-unmixing mixtures. In W.B. Size, edited. Use and Abuse of Statistical Methods in the Earth Sciences. Oxford Press: New York. 1987. pp. 33-46.
9. Forster, B. C., 1984. Derivation of atmospheric procedures for Landsat MSS with particular reference to urban data. International Journal of Remote Sensing, 5:799-817.
10. Freemantle, J.R., R. Pu, J.R. Miller. 1992. Calibration of imaging spectrometer data to reflectance using pseudo-invariant features, Proceedings of the 15th Canadian Symposium on Remote Sensing, June, 1992, Toronto, pp.452-455.
11. Gong, P., J.R. Miller, J. Freemantle, B. Chen. 1991. Spectral decomposition of Landsat TM data for urban land-cover mapping. Proceedingsof thel4th Canadian Symposium on Remote Sensing, Universityof Calgary, Calgary. May 1991. pp. 458-461.
12. Gong, P., J.R. Miller, M Spanner. 1994, Forest canopy closure from classification and spectral unmixing of scene components-multisensor evaluation of an open canopy. IEEE Trans, on Geos. andRemot. Sens. 32(5): 1067-1080.
13. Gong, P., R. Pu, J.R. Miller, 1992, Correlating leaf area index of ponderosa pine with hyperspectral CASI data, Canadian Journal of Remote Sensing, Vol. 18, No. 4, pp.275-282.
14. Hanan, N. P., S.D. Prince, P.H.Y. Hiernaux, 1991, Spectral modelling of multicomponentlandscapes in Sahelm, International Journal f Remote Sensing, 12, pp. 1243-1258.
15. Jansinski, M F., P.S. Eagleson, 1990, Estimation of subpixel vegetation cover using red infrared scattcrgrams. IEEE Transactions on Geoscience and Remote Sensing, 28, pp.153-267.
16. Klovan, J. E., AT. Miesch, 1975, Extended CABFAC and QMODEL computer programs for Q-Mode factor analysis of compositional data, Computer and Geosciences, pp.161-178.
17. Lawson, C. L., RJ. Hanson, 1974. Solvingleastsquares problems, Prentice-Hall, Inc., Englewood Cliffs, N.J.
18. Liang, S. and A.H. Strahler, 1993, An analytic BRDF model of canopy radiative transfer and its inversion. IEEE Trans. Geosci. Remote Sens., 31(5):1081-1092.
19. Liang, S., A.H. Strahler, X. Li, 1991, Simultaneous inversion of subpixel proportions and signatures of mixed pixels: two components, in Proc. of ACSM-ASPRS Fall convertion. Atlanta. Georgia, pp. BIOS-117.
20. Press, W H., S.A. Teukolsky, W.T. Vetterling, B.P. Flannery, 1992, Numerical recipes in C: the art of scientific computing, Cambridge University Press: New York.
21. Sasaki, K., S. Kawata, and S. Minami, 1983, Constrained nonlinear method for estimating component spectra from multicomponent mixtures. Applied Optics, 22(22):3599-3603.
22. Shimabukuro, Y E., J. A. Smith, 1991, The least squares mixing models to generate fraction images derived from remote sensingmultispectral data. IEEE Trans, on Geos, and Remote Sensing. 29(1): 16-20.
23. Singer, R. B., T.B. McCord, 1979, Mars: large scale mixing of bright and dark surface materials and implications for analysis of spectral reflectance, Proceedings of the 10th Lunar and Planetary Science Conference, pp. 1835-1848.
24. Smith, M. O., P.E. Johnson, J.B. Adams, 1985, Quantitative determination of mineral types and abundances from reflectance spectra using principal componentsanalysis, Journal of Geophysical Research, 90:C797-C804.
25. Smith, M O., S.L. Ustin, J.B. Adams, A.R Gillespie, 1990, Vegetation in deserts: 1A regional measure of abundance from multispectral images, Remote Sensing of Environment, 31: 1-25.
26. Zhang, A., Hyperspectral Image Analysis: A Study on Band Selection Methods and the Sensitivity of Linear Spectral Unmixing. Report in the Department of Geomatics Engineering, The University of Calgary, Alberta, Canada, 77 p.