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Volumn , Issue , 2013, Pages 57-86

Accuracy assessment for soft classification maps

Author keywords

[No Author keywords available]

Indexed keywords

EARTH SCIENCES; REMOTE SENSING;

EID: 85030858677     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1201/b15159     Document Type: Chapter
Times cited : (3)

References (55)
  • 4
    • 0242500422 scopus 로고    scopus 로고
    • Land-Use/Land-Cover Change Detection Using Improved Change-Vector Analysis
    • Chen, J., P. Gong, C. He, R. Pu, and P. Shi. 2003. “Land-Use/Land-Cover Change Detection Using Improved Change-Vector Analysis.” Photogrammetric Engineering & Remote Sensing 69(4):369-79.
    • (2003) Photogrammetric Engineering & Remote Sensing , vol.69 , Issue.4 , pp. 369-379
    • Chen, J.1    Gong, P.2    He, C.3    Pu, R.4    Shi, P.5
  • 5
    • 77649181120 scopus 로고    scopus 로고
    • Consistency of Accuracy Assessment Indices for Soft Classification: Simulation Analysis
    • Chen, J., X. Zhu, H. Imura, and X. Chen. 2010. “Consistency of Accuracy Assessment Indices for Soft Classification: Simulation Analysis.” ISPRS Journal of Photogrammetry and Remote Sensing 65(2):156-64.
    • (2010) ISPRS Journal of Photogrammetry and Remote Sensing , vol.65 , Issue.2 , pp. 156-164
    • Chen, J.1    Zhu, X.2    Imura, H.3    Chen, X.4
  • 7
    • 84973587732 scopus 로고
    • A Coefficient of Agreement for Nominal Scales
    • Cohen, J. 1960. “A Coefficient of Agreement for Nominal Scales.” Educational and Psychological Measurement 20:37-46.
    • (1960) Educational and Psychological Measurement , vol.20 , pp. 37-46
    • Cohen, J.1
  • 8
    • 0026278621 scopus 로고
    • A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data
    • Congalton, R. G. 1991. “A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data.” Remote Sensing of Environment 37:35-46.
    • (1991) Remote Sensing of Environment , vol.37 , pp. 35-46
    • Congalton, R.G.1
  • 11
    • 0020642209 scopus 로고
    • A Quantitative Method to Test for Consistency and Correctness in Photointerpretation
    • Congalton, R. G., and R. A. Mead. 1983. “A Quantitative Method to Test for Consistency and Correctness in Photointerpretation.” Photogrammetric Engineering and Remote Sensing 49(1):69-74.
    • (1983) Photogrammetric Engineering and Remote Sensing , vol.49 , Issue.1 , pp. 69-74
    • Congalton, R.G.1    Mead, R.A.2
  • 13
    • 0010742749 scopus 로고
    • Large-Area Change Analysis: The Coastwatch Change Analysis Project (C-CAP)
    • August 24-26, 1993, Sioux Falls, SD. American Society for Photogrammetry and Remote Sensing, 1994, Bethesda, MD
    • Dobson, J., and E. Bright. 1993. “Large-Area Change Analysis: The Coastwatch Change Analysis Project (C-CAP).” Proceedings of Peccary 12. August 24-26, 1993, Sioux Falls, SD. American Society for Photogrammetry and Remote Sensing, 1994, Bethesda, MD, 73-81.
    • (1993) Proceedings of Peccary 12 , pp. 73-81
    • Dobson, J.1    Bright, E.2
  • 14
    • 0034651972 scopus 로고    scopus 로고
    • Testing the Equality of Two Dependent Kappa Statistics
    • Donner, A., M. Shoukri, N. Klar, and E. Bartfay. 2000. “Testing the Equality of Two Dependent Kappa Statistics.” Statistics in Medicine 19:373-87.
    • (2000) Statistics in Medicine , vol.19 , pp. 373-387
    • Donner, A.1    Shoukri, M.2    Klar, N.3    Bartfay, E.4
  • 15
    • 20444452952 scopus 로고    scopus 로고
    • A Vegetation Map for the Catskill Park, NY, Derived From Multi-Temporal Landsat Imagery and GIS Data
    • Driese, K., W. Reiners, G. Lovett, and S. Simkin. 2004. “A Vegetation Map for the Catskill Park, NY, Derived From Multi-Temporal Landsat Imagery and GIS Data.” Northeastern Naturalist 11:421-42.
    • (2004) Northeastern Naturalist , vol.11 , pp. 421-442
    • Driese, K.1    Reiners, W.2    Lovett, G.3    Simkin, S.4
  • 16
    • 0027836868 scopus 로고
    • Use of the Average Mutual Information Index in Evaluating Classification Error and Consistency
    • Finn, J. T. 1993. “Use of the Average Mutual Information Index in Evaluating Classification Error and Consistency.” International Journal of Geographical Information Systems 7(4):349-66.
    • (1993) International Journal of Geographical Information Systems , vol.7 , Issue.4 , pp. 349-366
    • Finn, J.T.1
  • 17
    • 0028982899 scopus 로고
    • Cross-Entropy for the Evaluation of the Accuracy of a Fuzzy Land Cover Classification with Fuzzy Ground Data
    • Foody, G. M. 1995. “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 50(5):2-12.
    • (1995) ISPRS Journal of Photogrammetry and Remote Sensing , vol.50 , Issue.5 , pp. 2-12
    • Foody, G.M.1
  • 18
    • 0033005338 scopus 로고    scopus 로고
    • The Continuum of Classification Fuzziness in Thematics Mapping
    • Foody, G. M. 1999. “The Continuum of Classification Fuzziness in Thematics Mapping.” Photogrammetric Engineering and Remote Sensing 65:443-51.
    • (1999) Photogrammetric Engineering and Remote Sensing , vol.65 , pp. 443-451
    • Foody, G.M.1
  • 19
    • 0036213079 scopus 로고    scopus 로고
    • Status of Land Cover Classification Accuracy Assessment
    • Foody, G. M. 2002. “Status of Land Cover Classification Accuracy Assessment.” Remote Sensing of Environment 80:185-201.
    • (2002) Remote Sensing of Environment , vol.80 , pp. 185-201
    • Foody, G.M.1
  • 20
    • 3042661357 scopus 로고    scopus 로고
    • Thematic Map Comparison: Evaluating the Statistical Significance of Differences in Classification Accuracy
    • Foody, G. M. 2004. “Thematic Map Comparison: Evaluating the Statistical Significance of Differences in Classification Accuracy.” Photogrammetric Engineering and Remote Sensing 70:627-33.
    • (2004) Photogrammetric Engineering and Remote Sensing , vol.70 , pp. 627-633
    • Foody, G.M.1
  • 21
    • 3042770662 scopus 로고    scopus 로고
    • Remote Sensing of Forests Over Time: Change Types, Method and Opportunities
    • edited by M. A. Wulder and S. E. Franklin, Dordrecht/Boston/London: Kluwer Academic Publishers
    • Gong, P., and B. Xu. 2003. “Remote Sensing of Forests Over Time: Change Types, Method and Opportunities.” In Remote Sensing of Forest Environments: Concepts and Case studies, edited by M. A. Wulder and S. E. Franklin, 301-34. Dordrecht/Boston/London: Kluwer Academic Publishers.
    • (2003) Remote Sensing of Forest Environments: Concepts and Case studies , pp. 301-334
    • Gong, P.1    Xu, B.2
  • 22
    • 0028167349 scopus 로고
    • Theory and Methods for Accuracy Assessment of Thematic Maps Using Fuzzy Sets
    • Gopal, S., and C. Woodcock. 1994. “Theory and Methods for Accuracy Assessment of Thematic Maps Using Fuzzy Sets.” Photogrammetric Engineering and Remote Sensing 60:181-88.
    • (1994) Photogrammetric Engineering and Remote Sensing , vol.60 , pp. 181-188
    • Gopal, S.1    Woodcock, C.2
  • 24
    • 84871988564 scopus 로고    scopus 로고
    • Determining the Accuracy in Image Supervised Classification Problems
    • Gómez, D., and J. Montero. 2011. “Determining the Accuracy in Image Supervised Classification Problems.” Advances in Intelligent Systems Research 1:342-49.
    • (2011) Advances in Intelligent Systems Research , vol.1 , pp. 342-349
    • Gómez, D.1    Montero, J.2
  • 25
    • 33746866018 scopus 로고    scopus 로고
    • An Error Matrix Approach to Fuzzy Accuracy Assessment: The NIMA Geocover Project
    • edited by R. S. Lunetta and J. G. Lyon, Boca Raton, FL: CRC Press
    • Green, K., and R. G. Congalton. 2004. “An Error Matrix Approach to Fuzzy Accuracy Assessment: The NIMA Geocover Project.” In Remote Sensing and GIS Accuracy Assessment, edited by R. S. Lunetta and J. G. Lyon, 163-72. Boca Raton, FL: CRC Press.
    • (2004) Remote Sensing and GIS Accuracy Assessment , pp. 163-172
    • Green, K.1    Congalton, R.G.2
  • 27
    • 77949657728 scopus 로고    scopus 로고
    • Synergistic Use of QuickBird Multispectral Imagery and LIDAR Data for Object-Based Forest Species Classification
    • Ke, Y., L. Quackenbush, and J. Im. 2010. “Synergistic Use of QuickBird Multispectral Imagery and LIDAR Data for Object-Based Forest Species Classification.” Remote Sensing of Environment 114(6):1141-54.
    • (2010) Remote Sensing of Environment , vol.114 , Issue.6 , pp. 1141-1154
    • Ke, Y.1    Quackenbush, L.2    Im, J.3
  • 30
    • 0035841398 scopus 로고    scopus 로고
    • A Generalized Confusion Matrix for Assessing Area Estimates from Remotely Sensed Data
    • Lewis, H. G., and M. Brown. 2001. “A Generalized Confusion Matrix for Assessing Area Estimates from Remotely Sensed Data.” International Journal of Remote Sensing 22:3223-35.
    • (2001) International Journal of Remote Sensing , vol.22 , pp. 3223-3235
    • Lewis, H.G.1    Brown, M.2
  • 31
    • 34047163965 scopus 로고    scopus 로고
    • Comparative Assessment of the Measures of Thematic Classification Accuracy
    • Liu, C., P. Frazier, and L. Kumar. 2007. “Comparative Assessment of the Measures of Thematic Classification Accuracy.” Remote Sensing of Environment 108:606-16.
    • (2007) Remote Sensing of Environment , vol.108 , pp. 606-616
    • Liu, C.1    Frazier, P.2    Kumar, L.3
  • 32
    • 41249083722 scopus 로고    scopus 로고
    • Using Local Transition Probability Models in Markov Random Fields for Forest Change Detection
    • Liu, D., K. Song, J. R. G. Townshend, and P. Gong. 2008. “Using Local Transition Probability Models in Markov Random Fields for Forest Change Detection.” Remote Sensing of Environment 112(5):2222-31.
    • (2008) Remote Sensing of Environment , vol.112 , Issue.5 , pp. 2222-2231
    • Liu, D.1    Song, K.2    Townshend, J.R.G.3    Gong, P.4
  • 33
    • 2342428338 scopus 로고    scopus 로고
    • A Study on the Spatial-Temporal Dynamic Changes of Land-Use and Driving Forces Analyses of China in the 1990s
    • Liu, J., Z. Zhang, D. Zhuan, Y. Wang, W. Zhou, S. Zhang, R. Li, N. Jiang, and S. Wu. 2003. “A Study on the Spatial-Temporal Dynamic Changes of Land-Use and Driving Forces Analyses of China in the 1990s.” Geographical Research 22:1-12.
    • (2003) Geographical Research , vol.22 , pp. 1-12
    • Liu, J.1    Zhang, Z.2    Zhuan, D.3    Wang, Y.4    Zhou, W.5    Zhang, S.6    Li, R.7    Jiang, N.8    Wu, S.9
  • 35
    • 34250621373 scopus 로고    scopus 로고
    • The role of fuzziness in decision making
    • Studies in Fuzziness and Soft computing
    • Montero, J., V. López, and D. Gómez. 2007. “The role of fuzziness in decision making.” In Fuzzy Logic. Vol. 215, 337-49. Studies in Fuzziness and Soft computing.
    • (2007) Fuzzy Logic , vol.215 , pp. 337-349
    • Montero, J.1    López, V.2    Gómez, D.3
  • 36
    • 77953755136 scopus 로고    scopus 로고
    • A Novel Protocol for Accuracy Assessment in Classification of Very High Resolution Images
    • Persello, C., and L. Bruzzone. 2009. “A Novel Protocol for Accuracy Assessment in Classification of Very High Resolution Images.” IEE Transactions on Geoscience and Remote Sensing 48(3):1232-44.
    • (2009) IEE Transactions on Geoscience and Remote Sensing , vol.48 , Issue.3 , pp. 1232-1244
    • Persello, C.1    Bruzzone, L.2
  • 37
    • 0343303373 scopus 로고    scopus 로고
    • Quantification Error versus Location Error in Comparison of Categorical Maps
    • Pontius, R. 2000. “Quantification Error versus Location Error in Comparison of Categorical Maps.” Photogrammetric Engineering and Remote Sensing 66:1011-16.
    • (2000) Photogrammetric Engineering and Remote Sensing , vol.66 , pp. 1011-1016
    • Pontius, R.1
  • 38
    • 0141744794 scopus 로고    scopus 로고
    • Using the Relative Operating Characteristic to Quantify Certainty in Prediction of Location of Land Cover Change in India
    • Pontius, R., and K. Batchu. 2003. “Using the Relative Operating Characteristic to Quantify Certainty in Prediction of Location of Land Cover Change in India.” Transactions in GIS 7:467-84.
    • (2003) Transactions in GIS , vol.7 , pp. 467-484
    • Pontius, R.1    Batchu, K.2
  • 39
    • 30844437069 scopus 로고    scopus 로고
    • A Generalized Cross-Tabulation Matrix to Compare Soft-Classified Maps at Multiple Resolutions
    • Pontius, R., and M. Cheuck. 2006. “A Generalized Cross-Tabulation Matrix to Compare Soft-Classified Maps at Multiple Resolutions.” International Journal of Geographical Information Science 20:1-30.
    • (2006) International Journal of Geographical Information Science , vol.20 , pp. 1-30
    • Pontius, R.1    Cheuck, M.2
  • 40
    • 79956324768 scopus 로고    scopus 로고
    • Death to Kappa: Birth of Quantity Disagreement and Allocation Disagreement for Accuracy Assessment
    • Pontius, R., and M. Millones. 2011. “Death to Kappa: Birth of Quantity Disagreement and Allocation Disagreement for Accuracy Assessment.” International Journal of Remote Sensing 32(15):4407-29.
    • (2011) International Journal of Remote Sensing , vol.32 , Issue.15 , pp. 4407-4429
    • Pontius, R.1    Millones, M.2
  • 42
    • 0014534297 scopus 로고
    • A New Approach to Clustering
    • Ruspini, E. 1969. “A New Approach to Clustering.” Information and Control 15:22-32.
    • (1969) Information and Control , vol.15 , pp. 22-32
    • Ruspini, E.1
  • 43
    • 70449366363 scopus 로고    scopus 로고
    • Incorporating Reference Classification Uncertainty into the Analysis of Land Cover Accuracy
    • Sarmento, P., H. Carrão, M. Caetano, and S. V. Stehman. 2009. “Incorporating Reference Classification Uncertainty into the Analysis of Land Cover Accuracy.” International Journal of Remote Sensing 30(20):5309-21.
    • (2009) International Journal of Remote Sensing , vol.30 , Issue.20 , pp. 5309-5321
    • Sarmento, P.1    Carrão, H.2    Caetano, M.3    Stehman, S.V.4
  • 44
    • 39749185627 scopus 로고    scopus 로고
    • Sub-Pixel Confusion-Uncertainty Matrix for Assessing Soft Classifications
    • Silván-Cárdenas, J., and L. Wang. 2008. “Sub-Pixel Confusion-Uncertainty Matrix for Assessing Soft Classifications.” Remote Sensing of Environment 112(3):1081-95.
    • (2008) Remote Sensing of Environment , vol.112 , Issue.3 , pp. 1081-1095
    • Silván-Cárdenas, J.1    Wang, L.2
  • 46
    • 0028806865 scopus 로고
    • Thematic Map Accuracy Assessment from the Perspective of Finite Population Sampling
    • Stehman, S. 1995. “Thematic Map Accuracy Assessment from the Perspective of Finite Population Sampling.” International Journal of Remote Sensing 16(3):589-93.
    • (1995) International Journal of Remote Sensing , vol.16 , Issue.3 , pp. 589-593
    • Stehman, S.1
  • 47
    • 0031255580 scopus 로고    scopus 로고
    • Selecting and Interpreting Measures of Thematic Classification Accuracy
    • Stehman, S. 1997. “Selecting and Interpreting Measures of Thematic Classification Accuracy.” Remote Sensing of Environment 62:77-89.
    • (1997) Remote Sensing of Environment , vol.62 , pp. 77-89
    • Stehman, S.1
  • 48
    • 0032084126 scopus 로고    scopus 로고
    • Design and Analysis for Thematic Map Accuracy Assessment: Fundamental Principles
    • Stehman, S., and R. Czaplewski. 1998. “Design and Analysis for Thematic Map Accuracy Assessment: Fundamental Principles.” Remote Sensing of Environment 64:331-44.
    • (1998) Remote Sensing of Environment , vol.64 , pp. 331-344
    • Stehman, S.1    Czaplewski, R.2
  • 49
    • 0034213016 scopus 로고    scopus 로고
    • A Quantitative Fuzzy Approach to Assess Mapped Vegetation Classifications for Ecological Applications
    • Townsend, P. A. 2000. “A Quantitative Fuzzy Approach to Assess Mapped Vegetation Classifications for Ecological Applications.” Remote Sensing of Environment 72:253-67.
    • (2000) Remote Sensing of Environment , vol.72 , pp. 253-267
    • Townsend, P.A.1
  • 50
    • 70449377371 scopus 로고    scopus 로고
    • Land Cover Change Detection with a Cross-Correlogram Spectral Matching Algorithm
    • Wang, L., J. Chen, P. Gong, H. Shimazaki, and M. Tamura. 2009. “Land Cover Change Detection with a Cross-Correlogram Spectral Matching Algorithm.” International Journal of Remote Sensing 30(2):3259-73.
    • (2009) International Journal of Remote Sensing , vol.30 , Issue.2 , pp. 3259-3273
    • Wang, L.1    Chen, J.2    Gong, P.3    Shimazaki, H.4    Tamura, M.5
  • 51
    • 14644406807 scopus 로고    scopus 로고
    • Results of Implications of a Study of Fifteen Years of Satellite Classification Experiments
    • Wilkinson, G. G. 2005. “Results of Implications of a Study of Fifteen Years of Satellite Classification Experiments.” IEEE Transaction on Geoscience and Remote Sensing 43(3):433-40.
    • (2005) IEEE Transaction on Geoscience and Remote Sensing , vol.43 , Issue.3 , pp. 433-440
    • Wilkinson, G.G.1
  • 52
  • 55
    • 85009541463 scopus 로고    scopus 로고
    • Object-Oriented Method for Urban Vegetation Mapping Using IKONOS Imagery
    • Zhang, X., F. Xuezhi, and J. Hong. 2010. “Object-Oriented Method for Urban Vegetation Mapping Using IKONOS Imagery.” International Journal of Remote Sensing 31(1):177-96.
    • (2010) International Journal of Remote Sensing , vol.31 , Issue.1 , pp. 177-196
    • Zhang, X.1    Xuezhi, F.2    Hong, J.3


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