Improving the results of spectral unmixing of Landsat Thematic Mapper imagery by enhancing the orthogonality of end-members

International Journal of Remote Sensing

Volumn 21, Issue 15, 2000, Pages 2781-2797

  Van Der Meer, F ^a,c   De Jong, S M ^b  

^a UNIVERSITY OF TWENTE   (Netherlands)

^b UTRECHT UNIVERSITY   (Netherlands)

^c DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY ASSESSMENT; IMAGE ANALYSIS; LANDSAT THEMATIC MAPPER; REMOTE SENSING; SPECTRAL ANALYSIS;

EID: 0033820993     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160050121249     Document Type: Article

References (24)

1. Adams, J. B., Smith, M. O., and Johnston, P. E., 1985, Spectral mixture modelling: a new analysis of rock and soil types at the Viking Lander 1 site. Journal of Geophysical Research, 91, 8098-8112.
2. Atkinson, P. M., Cutler, M. E. J., and Lewis, H., 1997, Mapping sub-pixel proportional land cover with AVHRR imagery. International Journal of Remote Sensing, 18, 917-935.
3. Bastin, L., 1997, Comparison of fuzzy c-means classification, linear mixture modelling and MLC probabilities as tools for unmixing coarse pixels. International Journal of Remote Sensing, 18, 3629-3648.
4. Boardman, J. W., 1989, Inversion of imaging spectrometry data using singular value decomposition. Proceedings 12th Canadian Symposium on Remote Sensing IGARSS’89, SPIE Vol. 4, pp. 2069-2072.
5. Boardman, J. W., Kruse, F. A., and Green, R. O., 1995, Mapping target signatures via partial unmixing of AVIRIS data. Proceedings of the Fifth JPL Airborne Earth Science Workshop, JPL Publication 95-1 (Pasadena, USA: NASA JPL), Vol. 1, pp. 23-26.
6. Chavez, P. S., Jr, Berlin, G. L., and Sowers, L. B., 1982, Statistical method for selecting Landsat MSS ratios. Journal of Applied Photographic Engineering, 8, 23-30.
7. Foody, G. M., Lucas, R. M., Curran, P. J., and Honzak, M., 1997, Non-linear mixture modelling without end-members using an artificial neural network. International Journal of Remote Sensing, 18, 937-953.
8. Green, A. a., Berman, M., Switzer, P., and Graig, M. D., 1988, A transformation for ordering multispectral data in terms of image quality with implications for noise removal. IEEE Transactions on Geoscience and Remote Sensing, 26, 65-74.
9. Hapke, B., 1981, Bidirectional reflectance spectroscopy, 1, theory. Journal of Geophysical Research, 86, 3039-3054.
10. Johnson, P. E., Smith, M. O., TAYLOR-GEORGE, S., and Adams, J. B., 1983. A semiempirical method for analysis of the reflectance spectra of binary mineral mixtures. Journal of Geophysical Research, 88, 3557-3561.
11. Lee, J. B., Woodhyatt, S., and Berman, M., 1990. Enhancement of high spectral resolution remote-sensing data by a noise-adjusted principal components transform. IEEE Transactions on Geoscience and Remote Sensing, 28, 295-304.
12. Markham, B. L., and Barker, J. L., 1986, Landsat MSS and TM post-calibration dynamic ranges, exoatmospheric reflectances and at-sensor satellite temperatures. EOSAT Landsat Technical Notes, 1, 3-8.
13. Mustard, J. F., and Pieters, C. M., 1987, Quantitative abundance estimates from bidirectional reflectance measurements, Journal of Geophysical Research, 92, 617-626.
14. Nielsen, A. A., and Larsen, R., 1994, Restoration of GERIS data using the Maximum Noise Fractions Transform. Proceedings of the First International Airborne Remote Sensing Conference and Exhibition (ERIM), Strasbourg, France (ERIM, Ann Arbor), Vol. II, pp. 557-568.
15. Novo, E. M., and Shimabukuro, Y. E., 1997, Identification and mapping of the Amazon habitats using a mixing model. International Journal of Remote Sensing, 18, 663-670.
16. Schetselaar, E. M., and Rencz, A. N., 1997, Reducing the effects of vegetation cover on airborne radiometric data using Landsat TM data. International Journal of Remote Sensing, 18, 1503-1515.
17. Shimabukuro, Y. E., Carvalho, V. C., and Rudorff, B. F. T., 1997, NOAA-AVHRR data processing for the mapping of vegetation cover. International Journal of Remote Sensing, 18, 671-677.
18. Settle, J. J., and Drake, N. A., 1993, Linear mixing and the estimation of ground cover proportions. International Journal of Remote Sensing, 14, 1159-1177.
19. Singer, R. B., 1981, Near-infrared spectral reflectance of mineral mixtures: systematic combinations of pyroxenes, olivine, and iron oxides. Journal of Geophysical Research, 86, 7967-7982.
20. Singer, R. B., and McCord, T. B., 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, Houston, USA, 19-23 March 1979, pp. 1835-1848.
21. Smith, M. O., Johnston, P. E., and Adams, J. B., 1985, Quantitative determination of mineral types and abundances from reflectance spectra using principal component analysis. Journal of Geophysical Research, 90, 797-804.
22. Van der Meer, F., 1997, Mineral mapping and Landsat Thematic Mapper classification using spectral unmixing. Geocarto International, 12, 27-40.
23. Van der Meer, F., Van Duk, P. M., and Westerhof, A. B., 1995, Digital classification of the contact metamorphic aureole along the Los Pedroches batholith, south-central Spain, using Landsat Thematic Mapper data. International Journal of Remote Sensing, 16, 1043-1062.
24. Van der Meer, F., Vazquez-Torres, M., and Van Duk, P.M., 1997. Spectral characterization of ophiolite lithologies in the Troodos Ophiolite complex of Cyprus and its potential in prospecting for massive sulphide deposits. International Journal of Remote Sensing, 18, 1245-1257.