A decision fusion method using an algorithm for fusion of correlated probabilities

International Journal of Remote Sensing

Volumn 37, Issue 1, 2016, Pages 14-25

  Mazher, Abeer ^a   Li, Peijun ^a   Moughal, Tauqir Ahmed ^b   Xu, Haiqing ^c  

^a PEKING UNIVERSITY   (China)

^b BEIJING NORMAL UNIVERSITY   (China)

^c UNIVERSITY OF SOUTH CAROLINA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PROBABILITY;

CLASSIFICATION RESULTS; CONDITIONAL DEPENDENCE; CONDITIONAL PROBABILITIES; CORRELATED PROBABILITY; DECISION FUSION METHODS; DEPENDENCE STRUCTURES; LAND COVER CLASSIFICATION; MAXIMUM POSTERIOR PROBABILITY;

SENSOR DATA FUSION;

ALGORITHM; DECISION ANALYSIS; LAND CLASSIFICATION; LAND COVER; PROBABILITY;

EID: 84953234656     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/2150704X.2015.1109158     Document Type: Article

References (31)

1. J.A.Benediktsson,, and I.Kanellopoulos. 1999. “Classification of Multisource and Hyperspectral Data Based on Decision Fusion.” IEEE Transactions on Geoscience and Remote Sensing 37 (3): 1367–1377. doi:10.1109/36.763301.
2. J.A.Benediktsson,, and P.H.Swain. 1992. “Consensus Theoretic Classification Methods.” IEEE Transactions on Systems, Man and Cybernetics 22 (4): 688–704. doi:10.1109/21.156582.
3. R.F.Bordley, 1982. “A Multiplicative Formula for Aggregating Probability Assessments.” Management Science 28 (10): 1137–1148. doi:10.1287/mnsc.28.10.1137.
4. A.Boucher,, K.C.Seto, and A.G.Journel. 2006. “A Novel Method for Mapping Land Cover Changes: Incorporating Time and Space With Geostatistics.” IEEE Transactions on Geoscience and Remote Sensing 44 (11): 3427–3435. doi:10.1109/tgrs.2006.879113.
5. D.Ciuonzo,, A.D.Maio, and P.S.Rossi. 2015. “A Systematic Framework for Composite Hypothesis Testing of Independent Bernoulli Trials.” IEEE Signal Processing Letters No 22 (9): 1249–1253. doi:10.1109/LSP.2015.2395811.
6. D.Ciuonzo,, and P.S.Rossi. 2014. “Decision Fusion with Unknown Sensor Detection Probability.” IEEE Signal Processing Letters 21 (2): 208–212. doi:10.1109/LSP.2013.2295054.
7. J.de Leeuw,, H.Jia, L.Yang, X.Liu, K.Schmidt, and A.K.Skidmore. 2006. “Comparing Accuracy Assessments to Infer Superiority of Image Classification Methods.” International Journal of Remote Sensing 27 (1): 223–232. doi:10.1080/01431160500275762.
8. M.Deng, 2009. “A Conditional Dependence Adjusted Weights of Evidence Model.” Natural Resources Research 18 (4): 249–258. doi:10.1007/s11053-009-9101-5.
9. J.Desachy,, L.Roux, and E.Zahzah. 1996. “Numeric and Symbolic Data Fusion: A Soft Computing Approach to Remote Sensing Images Analysis.” Pattern Recognition Letters 17 (13): 1361–1378. doi:http://dx.doi.org/10.1016/S0167-8655(96)00093-1.
10. G.M.Foody, 2004. “Thematic Map Comparison: Evaluating the Statistical Significance of Differences in Classification Accuracy.” Photogrammetric Engineering & Remote Sensing 70: 627–633. doi:10.14358/PERS.70.5.627.
11. G.M.Foody, 2009. “Classification Accuracy Comparison: Hypothesis Tests and the Use of Confidence Intervals in Evaluations of Difference, Equivalence and Non-Inferiority.” Remote Sensing of Environment 113 (8): 1658–1663. doi:10.1016/j.rse.2009.03.014.
12. G.M.Foody, 2010. “Assessing the Accuracy of Land Cover Change with Imperfect Ground Reference Data.” Remote Sensing of Environment 114 (10): 2271–2285. doi:10.1016/j.rse.2010.05.003.
13. I.A.Gardner,, H.Stryhn, P.Lind, and M.T.Collins. 2000. “Conditional Dependence between Tests Affects the Diagnosis and Surveillance of Animal Diseases.” Preventive Veterinary Medicine 45 (1–2): 107–122. doi:http://dx.doi.org/10.1016/S0167-5877(00)00119-7.
14. L.O.Jimenez,, A.Morales-Morell, and A.Creus. 1999. “Classification of Hyperdimensional Data Based on Feature and Decision Fusion Approaches Using Projection Pursuit, Majority Voting, and Neural Networks.” IEEE Transactions on Geoscience and Remote Sensing 37 (3): 1360–1366. doi:10.1109/36.763300.
15. A.G.Journel, 2002. “Combining Knowledge from Diverse Sources: An Alternative to Traditional Data Independence Hypotheses.” Mathematical Geology 34 (5): 573–596. doi:10.1023/a:1016047012594.
16. S.S.Keerthi,, and C.-J.Lin. 2003. “Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel.” Neural Computation 15 (7): 1667–1689. doi:10.1162/089976603321891855.
17. S.Krishnan, 2008. “The Tau Model for Data Redundancy and Information Combination in Earth Sciences: Theory and Application.” Mathematical Geosciences 40 (6): 705–727. doi:10.1007/s11004-008-9165-5.
18. P.S.Maybeck, 1979. Stochastic Models, Estimation and Control. Vol. 1. New York: Academic Press.
19. P.A.Murtaugh,, and D.L.Phillips. 1998. “Temporal Correlation of Classifications in Remote Sensing.” Journal of Agricultural, Biological, and Environmental Statistics 3 (1): 99–110. doi:10.2307/1400625.
20. J.O’Brien, 1998. “An Algorithm for the Fusion of Correlated Probabilities.” Proceedings Fusion’98, 1st International conference on Multisource-Multisensor Information Fusion, Las Vegas, NV, July 6–9, 565–571.
21. J.O’Brien, 1999. “Correlated Probability Fusion for Multiple Class Discrimination.” Proceedings of Information Decision and Control, Adelaide, SA, February 8–10, 571–577.
22. N.-W.Park, 2010. “Accounting for Temporal Contextual Information in Land-Cover Classification with Multi-Sensor SAR Data.” International Journal of Remote Sensing 31 (2): 281–298. doi:10.1080/01431160902882652.
23. N.-W.Park,, and K.-H.Chi. 2008. “Integration of Multitemporal/Polarization C‐Band SAR Data Sets for Land‐Cover Classification.” International Journal of Remote Sensing 29 (16): 4667–4688. doi:10.1080/01431160801947341.
24. P.A.Rosen,, S.Hensley, G.Peltzer, and M.Simons. 2004. “Updated Repeat Orbit Interferometry Package Released.” Eos, Transactions, American Geophysical Union 85 (5): 47–47. doi:10.1029/2004EO050004.
25. A.H.S.Solberg,, A.K.Jain, and T.Taxt. 1994. “Multisource Classification of Remotely Sensed Data: Fusion of Landsat TM and SAR Images.” IEEE Transactions on Geoscience and Remote Sensing 32 (4): 768–778. doi:10.1109/36.298006.
26. B.Song,, and P.Li. 2014. “A Novel Decision Fusion Method Based on Weights of Evidence Model.” International Journal of Image and Data Fusion 5 (2): 123–137. doi:10.1080/19479832.2014.894143.
27. P.A.J.van Oort, 2007. “Interpreting the Change Detection Error Matrix.” Remote Sensing of Environment 108 (1): 1–8. doi:10.1016/j.rse.2006.10.012.
28. B.Waske,, and J.A.Benediktsson. 2007. “Fusion of Support Vector Machines for Classification of Multisensor Data.” IEEE Transactions on Geoscience and Remote Sensing 45 (12): 3858–3866. doi:10.1109/tgrs.2007.898446.
29. R.L.Winkler, 1968. “The Consensus of Subjective Probability Distributions.” Management Science 15 (2): B61–B75. doi:10.1287/mnsc.15.2.B61.
30. T.F.Wu,, C.J.Lin, and R.C.Weng. 2004. “Probability Estimates for Multi-class Classification by Pairwise Coupling.” The Journal of Machine Learning Research no 5: 975–1005. doi:10.1.1.10.5389.
31. H.Yu,, and P.Li. 2010. “Lithological Mapping Using LANDSAT ETM+ and ASTER Data.” Acta Pertologica Sinica No 26 (1): 345–351.