Accuracy benefits of a fuzzy classifier in remote sensing data classification of snow

IEEE International Conference on Fuzzy Systems

Volumn , Issue , 2007, Pages

  Pepe, Monica ^a   Boschetti, Luigi ^b   Brivio, Pietro Alessandro ^a   Rampini, Anna ^a  

^a CNR   (Italy)

^b UNIVERSITY OF MARYLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFIERS; ERRORS; FUZZY LOGIC; FUZZY SYSTEMS; LAWS AND LEGISLATION; LEARNING SYSTEMS; PIXELS; PRECIPITATION (METEOROLOGY); REMOTE SENSING; SATELLITES; SPACE OPTICS;

ASSESSING METHOD; CLOUD COVERS; FINAL PRODUCTS; FUZZY CLASSIFIERS; HARD CLASSIFICATION; HIGH-SPATIAL RESOLUTION; INTER-COMPARISON; INTERNATIONAL CONFERENCES; MIXED PIXELS; OPTIMAL SOLUTIONS; PARETO BOUNDARY; REMOTE-SENSING APPLICATIONS; REMOTE-SENSING DATA CLASSIFICATION; SATELLITE IMAGING; SATELLITE REMOTE SENSING; SNOW PACKS; SNOW-MAPPING; SPATIAL RESOLUTION SR); STATISTICAL CLASSIFIERS;

CLASSIFICATION (OF INFORMATION);

EID: 50249153135     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2007.4295416     Document Type: Conference Paper

References (21)

1. Harrison, A. R., and Lucas, R. M., "Multi-spectral classification of snow using NOAA AVHRR imagery". International Journal of Remote Sensing, 1989, 10 (5), pp. 907-916
2. Matson, M., "NOAA satellite snow cover data", Palaeogeography andPalaeoecology, 1991, 90, pp. 213-218.
3. Robinson, D. A., Dewey, K. F., and Heim, R. R., "Global snow cover monitoring: an update." Bulletin of American Meteorological Society, 1993, 74, pp. 1689-1696.
4. Hall, D. K., Riggs, G. A., and Salomonson, V. V. "Development of methods for mapping global snow cover using Moderate Resolution Imaging Spectroradiometer data." Remote Sensing of Environment, 1995, 54, pp. 127-140.
5. Ramsay, B., "The interactive multisensor snow and ice mapping system" Hydrologlcal Processes, 1998, 12, pp. 1537-1546.
6. Hall, D. K.; Riggs, G. A.; Salomonson, V. V., DiGirolamo N. E., Bayr K. J., "MODIS snow-cover products." Remote Sensing of Environment, 2002, 83, pp. 181-194
7. Malcher, P., Floricioiu, D., and Rott H., "Snow Mapping in Alpine Areas Using Medium Resolution Spectrometric Sensors." In Proceedings IGARSS'03, 21-25 July, 2003, Toulouse, France, CD-ROM, ISBN: 0-7803-7930-6, paper n. I_A32_10, 3 pp.
8. Pepe M., Brivio P.A., Rampini A., Rota Nodari F., Boschetti M. "Snow cover monitoring in Alpine regions using ENVISAT optical data", International Journal of Remote Sensing, 2005, 26 (21), pp. 4661-4667.
9. Kaufman, Y.J., Kleidman, R.G., Hall, D.K., Martins, J.V. and Barton, J.S., "Remote sensing of subpixel snow cover using 0.66 and 2.1 μm channels", Geophysical Research Letters, 2002, 29(16), 1781 (doi:10.1029.2001GLO13580).
10. Salomonson, V.V.; Appel, I., "Estimating fractional snow cover from MODIS using the normalized difference snow index." Remote Sensing of Environment, 2004, 89 (3), pp. 351-360.
11. Richards J.A., Remote Sensing Digital Image Analysis, Springer-Verlag, Berlin, 240pp., 1999.
12. Wang, F., "Fuzzy Supervised Classification of Remote Sensing Images." IEEE Transaction on Geoscience and Remote Sensing, 1990, 28, pp. 194-200.
13. Foody, G. M. "Status of land cover accuracy assessment." Remote Sensing of Environment, 2002, 80, 185-201.
14. Justice, C. O, Giglio, L., Korontzi, S., Owens, J., Morisette, J. T., Roy, D., Descloitres, J., Alleaume, S., Petitcolin, F., & Kaufman, Y.. "The MODIS fire products." Remote Sensing of Environment, 2002, 83:244-262
15. Smith, J.H, Stehman, S.V., Wickham, J.D. & Yang, W. "Effects of landscape characteristics on land-cover class accuracy'. Remote Sensing of Environment, 2003, 84, 342-349.
16. Congalton, R. G. & Green, K., Assessing the accuracy of remotely sensed data., Florida, CRC Press, pp. 137, 1999.
17. Binaghi, E., Brivio, P. A., Ghezzi, P. & Rampini, A, "A Fuzzy Set-Based Accuracy Assessment of Soft Classifications." Pattern Recognition Letters, 1999, 20, pp. 935-948.
18. Boschetti, L., Fiasse S. P., and Brivio P.A., "Analysis of the Conflict between Omission and Commission in Low Spatial Resolution Dichotomic Thematic Products: the Pareto Boundary." Remote Sensing of Environment, 2004, 91, pp. 280-292.
19. Baraldi, A., Binaghi, E., Blonda, P., Brivio, P. A. and Rampini, A., A "Detailed Comparison of Neuro-Fuzzy Estimation of Sub-pixel Land-Cover Composition from Remotely Sensed Data." LEEE Transaction on Geoscience and Remote Sensing, 2001, 38 (5), pp. 994-1005.
20. Eva, H. & Lambin, E. F., "Remote sensing of biomass burning in tropical regions: sampling issues and multisensor approach." Remote Sensing of Environment, 1998, 64, 292-315.
21. Pareto, V. Manuale d'Economia Politica, Milano: Societa Editrice Libraria, 1906.