Determining the accuracy in image supervised classification problems

Proceedings of the 7th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2011 and French Days on Fuzzy Logic and Applications, LFA 2011

Volumn 1, Issue 1, 2011, Pages 342-349

  Gómez, Daniel ^a   Montero, Javier ^a  

^a UNIVERSIDAD COMPLUTENSE DE MADRID   (Spain)

Author keywords

Accuracy measures; Fuzzy image classification; Kappa Index

Indexed keywords

COMPUTER CIRCUITS; DECISION MAKING; FUZZY LOGIC; SUPERVISED LEARNING;

ACCURACY MEASURES; CLASSIFICATION PROCESS; FUZZY CLASSIFICATION SYSTEMS; FUZZY IMAGE CLASSIFICATION; KAPPA INDEX; OVERALL ACCURACIES; SUPERVISED CLASSIFICATION; SUPERVISED IMAGE CLASSIFICATIONS;

IMAGE CLASSIFICATION;

EID: 84871988564     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2991/eusflat.2011.103     Document Type: Conference Paper

References (62)

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4. F. Vrins, C. Archambeau and M. Verleysen, Towards a local separation performances estimator using common ICA contrast functions? In M. Verleysen, editor, proceedings of the 12th European Symposium on Artificial Neural Networks (ESANN 2004), d-side pub., pages 211-216, April 28-30, Bruges (Belgium), 2004.
5. A. Amo, D. Gomez, J. Montero and G. Biging, Relevance and redundancy in fuzzy classification systems, Mathware and Soft Computing, 8: 203-216, 2001.
6. A. Amo, J. Montero, G. Biging and V. Cutello, Fuzzy classification systems. European Journal of Operational 156: 459-507, Elsevier, 2004.
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16. S. Gopal and C.E. Woodcock, Theory and methods for accuracy assessment of thematic maps using fuzzy sets. Photogrammetric Engineering and Remote Sensing, 60(2): 181-188, 1994.
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20. Hagen-Zanker A. (2006). Map comparison methods that simultaneously address overlap and structure. Journal of Geographical Systems 8(2):165-185
21. M. Laba, S.K. Gregory, J. Braden, D. Ogurcak, E. Hill, E. Fegraus, J.Fiore, and S.D. DeGloria, Conventional and Fuzzy accuracy assessment of the New York Gap Analysis Project land cover map. Remote sensing of Enviroment, 81: 443-455, 2002.
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29. S.V. Stehman, and R.L. Czaplewski, Introduction to special issue on map accuracy. Enviromental and Ecological Statistics, 10, 301-308, 2003.
30. J.S. Uebersax, A generalized Kappa coefficient. Educational and Psychological Measurement, 42: 181-183, 1982.
31. L.A. Zadeh, Fuzzy sets, Information and Control 8 338-353, 1965.
32. S. Haykin, editor. Unsupervised Adaptive Filtering vol. 1: Blind Source Separation, John Willey ans Sons, New York, 2000.
33. N. Delfosse and P. Loubaton, Adaptibe blind separation of sources: A deflation approach, Signal Processing, 45:59-83, Elsevier, 1995.
34. S. Cruces, A. Cichocki and S. Amari, The minimum entropy and cumulants based contrast functions for blind source extraction. In J. Mira and A. Prieto, editors, proceedings of the 6th international workshop on artificial neural networks (IWANN 2001), Lecture Notes in Computer Science 2085, pages 786-793, Springer-Verlag, 2001.
35. F. Vrins, C. Archambeau and M. Verleysen, Towards a local separation performances estimator using common ICA contrast functions? In M. Verleysen, editor, proceedings of the 12th European Symposium on Artificial Neural Networks (ESANN 2004), d-side pub., pages 211-216, April 28-30, Bruges (Belgium), 2004.
36. A. Amo, D. Gomez, J. Montero and G. Biging, Relevance and redundancy in fuzzy classification systems, Mathware and Soft Computing, 8: 203-216, 2001.
37. A. Amo, J. Montero, G. Biging and V. Cutello, Fuzzy classification systems. European Journal of Operational 156: 459-507, Elsevier, 2004.
38. R.G. Congalton and G. Biging, A pilot study evaluating ground reference data collection efforts for use in forestry inventory. Photogrametic Engineering and Remote Sensing 58: 1669-1671, 1992.
39. E. Binaghi, P.A. Brivio, P. Ghezzi, and A. Rampini, A fuzzy set based accuracy assessment of soft classification. Pattern Recognition Letters, 20: 935-948, Elsevier, 1999.
40. R.G. Congalton, A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment, 37: 35-46, Elsevier, 1991.
41. R.G. Congalton, and K. Green, editor. Assessing the accuracy of remotely sensed data: Principles and practices. London New York and Washinton D.C: Lewis publishers, 1999
42. J. Cohen, A coeficient of agreement for nominal scales. Educational and Psychological Measurement, 20: 37-46, 1960.
43. J. Cohen, Weighted Kappa: Nominal Scale agreement with provision for scaled disagreement or partial credit. Psychological Bulletin, 70: 213-220, 1968.
44. G.M. Foody, Cross-entropy for the evaluation of the accuracy of a fuzzy land cover classification with fuzzy ground data. ISPRS Journal of Photogrammetry and Remote Sensing, 80: 185-201, 1995.
45. G.M. Foody, The continuum of classification fuzziness in thematics mapping. Photogrammetric Engineering and Remote Sensing, 65: 443-451, 1999.
46. G.M. Foody, Status of land cover classification accuracy assessment. Remote Sensing of Environment, 80: 185-201, 2002.
47. S. Gopal and C.E. Woodcock, Theory and methods for accuracy assessment of thematic maps using fuzzy sets. Photogrammetric Engineering and Remote Sensing, 60(2): 181-188, 1994.
48. D. Gómez, G. Biging and J. Montero, Accuracy statistics for judging soft classification. International Journal of Remote Sensing, 29(3): 693-709, 2008.
49. D. Gómez, J. Montero and Biging G., Accuracy measures for fuzzy classiffication in remote sensing. B. Bouchon-Meunier and R.R. Yager, eds. (Editions E.D.K., Paris), 1556-1563, 2006.
50. Green, K. and Congalton, G. (2004). An error matrix approach to fuzzy accuracy assessment: The NIMA geocover project. In R. S. Lunetta and J.G. Lyon (Eds.), Remote sensing and GIS accurcacy assessment (pp. 163-172). Boca Raton: CRC Press.
51. Hagen-Zanker A. (2006). Map comparison methods that simultaneously address overlap and structure. Journal of Geographical Systems 8(2):165-185
52. M. Laba, S.K. Gregory, J. Braden, D. Ogurcak, E. Hill, E. Fegraus, J.Fiore, and S.D. DeGloria, Conventional and Fuzzy accuracy assessment of the New York Gap Analysis Project land cover map. Remote sensing of Enviroment, 81: 443-455, 2002.
53. H.G. Lewis, and M. Brown, A generalized confusion matrix for assessing area estimates from remotely sensed data. International Journal of Remote Sensing, 22: 3223-3235, 2001.
54. M. Nachtegael, T. Mélange, E.E. Kerre, The possibilities of fuzzy logic in image processing, Lecture Notes in Computer Science 4815 (2007), 198-208.
55. Jr R.G. Pontius, Quantification error versus location error in comparison of categorical maps. Photogrammetric Eng. Remote Sensing 66: 1011-1016, 2000.
56. Jr R.G. Pontius and M.L. Cheuk, A generalized cross-tabulation matrix to compare softclassified maps at multiple resolutions. International Journal of Geographical Information Science, 20(1): 1-30, 2006.
57. E.H. Ruspini, A new approach to clustering. Information and Control, 15: 22-32, 1969.
58. T.L. Saaty (1994): Fundamentals of Decision Making with the Analytic Hierarchy Process. RWS Publications, Pittsburgh (Revised in 2000).
59. J.L. Silván-Cárdenas and L. Wang, Sub-pixel confusion-uncertainty matrix for assessing soft classifications. Remote Sensing of Environment 112: 1081-1095, Elsevier, 2008.
60. S.V. Stehman, and R.L. Czaplewski, Introduction to special issue on map accuracy. Enviromental and Ecological Statistics, 10, 301-308, 2003.
61. J.S. Uebersax, A generalized Kappa coefficient. Educational and Psychological Measurement, 42: 181-183, 1982.
62. L.A. Zadeh, Fuzzy sets, Information and Control 8 338-353, 1965.