Accuracy statistics for judging soft classification

International Journal of Remote Sensing

Volumn 29, Issue 3, 2008, Pages 693-709

  Gomez D ^a   Biging, G ^b   Montero, J ^a  

^a UNIVERSIDAD COMPLUTENSE DE MADRID   (Spain)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ERROR ANALYSIS; EXPERT SYSTEMS; FUZZY SETS; REMOTE SENSING; STATISTICS;

CRISP REFERENCE DATA; ERROR MATRIX; SOFT CLASSIFICATION;

CLASSIFICATION (OF INFORMATION);

ACCURACY ASSESSMENT; ERROR ANALYSIS; FUZZY MATHEMATICS; IMAGE CLASSIFICATION; MATRIX;

EID: 37549065930     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160701311325     Document Type: Article

References (37)

1. Amo, A., Gómez, D., Montero, J. and Biging, G. (2001) Relevance and redundancy in fuzzy classification systems. Mathware and Soft Computing, 8, pp. 203-216.
2. Amo, A., Montero, J., Biging, G. and Cutello, V. (2004) Fuzzy classification systems. European Journal of Operational Research, 156, pp. 459-507.
3. Behounek, L. and Cintula, P. (2005) Fuzzy class theory. Fuzzy Sets and Systems, 154, pp. 34-55.
4. Binaghi, E., Brivio, P. A., Ghezzi, P. and Rampini, A. (1999) A fuzzy set based accuracy assessment of soft classification. Pattern Recognition Letters, 20, pp. 935-948.
5. Calvo, T., Kolesarova, A., Komornikova, M. and Mesiar, R. (2002) Aggregation operators: Properties, classes and construction methods. Aggregation Operators, pp. 3-104. Springer, 2002, Berlin
6. Cohen, J. (1960) A coefficient of agreement for nominal scales. Educational and Psychological Measurement, 20, pp. 37-46.
7. Cohen, J. (1968) Weighted Kappa: Nominal scale agreement with provision for scaled disagreement or partial credit. Psychological Bulletin, 70, pp. 213-220.
8. Congalton, R. G. and Biging, G. (1992) A pilot study evaluating ground reference data collection efforts for use in forestry inventory. Photogrametic Engineering and Remote Sensing, 58, pp. 1669-1671.
9. Congalton, R. G. and Green, K. (1999) Assessing the accuracy of remote sensed data: Principles and Practices, Lewis Publishers, 1999, London
10. Donner, A., Shoukri, M. M., Klar, N. and Bartfay, E. (2000) Testing the equality of two dependent kappa statistics. Statistics in Medicine, 19, pp. 393-387.
11. Driese, K. L., Reiners, W. A., Lovett, G. M. and Simkin, S. M. (2004) A vegetation map for the Catskill Park, NY, derived from multi-temporal Landsat imagery and GIS data. Northeastern Naturalist, 11, pp. 421-442.
12. Fleis, J. L., Cohen, J. and Everitt, B. S. (1969) Large sample standard errors of Kappa and Weighted Kappa. Psychological Bulletin, 72, pp. 323-327.
13. Foody, G. M. (1999) The continuum of classification fuzziness in thematics mapping. Photogrammetric Engineering and Remote Sensing, 65, pp. 443-451.
14. Foody, G. M. (2002) Status of land cover classification accuracy assessment. Remote Sensing of Environment, 80, pp. 185-201.
15. Foody, G. M. (2004) Thematic map comparison: Evaluating the statistical significance of differences in classification accuracy. Photogrammetric Engineering and Remote Sensing, 70, pp. 627-633.
16. Gómez, D., Montero, J. and Biging, G. (2006) Accuracy measures for fuzzy classification. Proceedings of the I.P.M.U. Conference, pp. 1556-1563. Editions E.D.K., Paris
17. Gonzalez-Pachón, J., Gómez, D., Montero, J. and Yánez, J. (2003) Soft dimension theory. Fuzzy set and Systems, 137, pp. 137-149.
18. Gonzalez-Pachón, J., Gómez, D., Montero, J. and Yánez, J. (2003) Searching for the dimension of binary valued preference relations. International Journal of Approximate Reasoning, 33, pp. 133-157.
19. Hagen, A. (2002) Multi-method assessment of map similarity. Proceedings of the AGILE Conference, pp. 235-249. Universitat de les Illes Balears, Palma de Mallorca
20. Hagen, A. (2003) Fuzzy set approach to assessing similarity of categorical maps. International Journal of Geographical Information Science, 17, pp. 235-249.
21. Laba, M., Gregory, S. K., Braden, J., Ogurcak, D., Hill, E., Fegraus, E., Fiore, J. and Degloria, S. D. (2002) Conventional and fuzzy accuracy assessment of the New York Gap Analysis Project land cover map. Remote sensing of Environment, 81, pp. 443-455.
22. Macharis, C., Brans, J. P. and Mareschal, B. (1998) The GDSS Promethee procedure. Journal of Decision Systems, 7, pp. 283-307.
23. Naesset, E. (1996) Use of the weighted Kappa coefficient in classification error assessment of thematic maps. Int. J. Geographical Information Systems, 10, pp. 591-604.
24. Pontius, R. G. (2000) Quantification error versus location error in comparison of categorical maps. Photogrammetric Engineering and Remote Sensing, 66, pp. 1011-1016.
25. Pontius, R. G. (2002) Statistical methods to partition effects of quantity and location during comparison of categorical maps at multiple resolutions. Photogrammetric Engineering and Remote Sensing, 68, pp. 1041-1049.
26. Pontius, R. G. and Batchu, K. (2003) Using the relative operating characteristic to quantify certainty in prediction of location of land cover change in India. Transactions in GIS, 7, pp. 467-484.
27. Pontius, R. G. and Cheuck, M. L. (2006) A generalized cross-tabulation matrix to compare soft-classified maps at multiple resolutions. International Journal of Geographical Information Science, 20, pp. 1-30.
28. Rao, C. R. (1965) Linear Statistical Inference and its Applications, Wiley, 1965, New York
29. Ruspini, E. H. (1969) A new approach to clustering. Information and Control, 15, pp. 22-32.
30. Saaty, T. L. (1994) Fundamentals of Decision Making with the Analytic Hierarchy Process, RWS Publications, 1994, Pittsburgh
31. Stehman, S. V. (1997) Selecting and interpreting measures of thematic classification accuracy. Remote Sensing of Environment, 62, pp. 77-89.
32. Stehman, S. V. (1999) Basic probability sampling designs for thematic map accuracy assessments. International Journal of Remote Sensing, 20, pp. 2423-2441.
33. Stehman, S. V. and Czaplewski, R. L. (2003) Introduction to special issue on map accuracy. Environmental and Ecological Statistics, 10, pp. 301-308.
34. Uebersax, J. S. (1982) A generalized Kappa coefficient. Educational and Psychological Measurement, 42, pp. 181-183.
35. Visser, H. and Nijs, T. (2006) The map comparison kit. Environmental Modelling and Software, 21, pp. 346-358.
36. Woodcock, C. E. and Gopal, S. (2000) Fuzzy Set theory and thematics maps: Accuracy assessment and area estimation. International Journal Geographical Information Science, 14, pp. 153-172.
37. Zadeh, L. A. (1965) Fuzzy sets. Information Sciences, 8, pp. 338-353.