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Original Articles

The effects of different classification models on error propagation in land cover change detection

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Pages 5345-5364 | Published online: 30 Sep 2009

References

  • Arbia , G. , Griffith , D. and Haining , R. 1998 . Error propagation modeling in raster GIS: overlay operation . International Journal of Geographical Information Science , 12 : 145 – 167 .
  • Besag , J. 1986 . On the statistical analysis of dirty pictures . Journal of the Royal Statistical Society, Series B , 48 : 259 – 302 .
  • Boucher , A. , Seto , K. C. and Journel , A. G. 2006 . A novel method for mapping land cover changes: integrating time and space with geostatistics . IEEE Transactions on Geosciences and Remote Sensing , 44 : 3427 – 3435 .
  • Burnicki , A. C. , Brown , D. G. and Goovaerts , P. 2007 . Simulating error propagation in land-cover change analysis: the implications of temporal dependence . Computers, Environment and Urban Systems , 31 : 282 – 302 .
  • Carmel , Y. and Dean , D. J. 2004 . Performance of a spatio-temporal error model for raster datasets under complex error patterns . International Journal of Remote Sensing , 25 : 5283 – 5296 .
  • Carmel , Y. , Dean , D. J. and Flather , C. H. 2001 . Combining location and classification error sources for estimating multi-temporal database accuracy . Photogrammetric Engineering and Remote Sensing , 67 : 865 – 872 .
  • Cressie , N. 1993 . Statistics for Spatial Data , revised , New York : Wiley .
  • Dai , X. and Khorram , S. 1998 . The effects of image misregistration on the accuracy of remotely sensed change detection . IEEE Transactions on Geoscience and Remote Sensing , 36 : 1566 – 1577 .
  • Dubes , R. D. and Jain , A. K. 1989 . Random field models in image analysis . Journal of Applied Statistics , 16 : 131 – 164 .
  • Foody , A. M. 2002 . Status of land cover classification accuracy assessment . Remote Sensing of Environment , 80 : 185 – 201 .
  • Gong , P. and Xu , B. 2003 . “ Remote sensing of forests over time: Change types, methods, and opportunities ” . In Remote Sensing of Forest Environments: Concepts and Case Studies , Edited by: Woulder , M. and Franklin , S. E. 301 – 333 . Amsterdam, Netherlands : Kluwer Press .
  • Gong , P. , Ledrew , E. and Miller , J. 1992 . Registration noise reduction in difference images for change detection . International Journal of Remote Sensing , 13 : 773 – 779 .
  • Goodchild , M. F. , Guoqing , S. and Shiren , Y. 1992 . Development and test of an error model for categorical data . International Journal of Geographical Information Science , 6 : 87 – 104 .
  • Goovaerts , P. 1997 . Geostatistics for Natural Resources Evaluation , Oxford : Oxford University Press .
  • Goovaerts , P. and Jacquez , G. M. 2005 . Detection of temporal changes in the spatial distribution of cancer rates using local Moran's I and geostatistically simulated spatial neutral models . Journal of Geographical Systems , 7 : 137 – 159 .
  • Haining , R. and Arbia , G. 1993 . Error propagation through map operations . Technometrics , 35 : 293 – 305 .
  • Heuvelink , G. B.M. 1998 . Error Propagation in Environmental Modeling with GIS , London : Taylor & Francis .
  • Kyriakidis , P. C. and Dungan , J. L. 2001 . A geostatistical approach for mapping thematic classification accuracy and evaluating the impact of inaccurate spatial data on ecological model predictions . Environmental and Ecological Statistics , 8 : 311 – 330 .
  • Li , S. Z. 2001 . Markov Random Field Modeling in Image Analysis , New York : Springer-Verlag .
  • Liu , D. , Kelly , M. and Gong , P. . Classifying multi-temporal TM imagery using Markov random fields and Support Vector Machines . Proceedings of the Third International Workshop on the Analysis of Multitemporal Remote Sensing Images . May 16–18 2005 , Biloxi, Mississippi, USA. pp. 225 – 228 .
  • Liu , D. , Kelly , M. and Gong , P. 2006 . A spatial-temporal approach to monitoring forest disease spread using multi-temporal high spatial resolution imagery . Remote Sensing of Environment , 101 : 167 – 180 .
  • Liu , D. , Song , K. , Townshend , J. R. and Gong , P. 2008 . Using local transition probability models in Markov random fields for forest change detection . Remote Sensing of Environment , 112 : 2222 – 2231 .
  • Lu , D. , Mausel , P. , Brondizio , E. and Moran , E. 2004 . Change detection techniques . International Journal of Remote Sensing , 25 : 2365 – 2407 .
  • Lunetta , R. S. and Elvidge , C. D. 1998 . Remote Sensing Change Detection: Environmental Monitoring Methods and Applications , Chelsea : Ann Arbor Press .
  • Melgani , F. and Serpico , S. B. 2003 . A Markov random field approach to spatiotemporal contextual image classification . IEEE Transactions on Geoscience and Remote Sensing , 41 : 2478 – 2487 .
  • Platt , J. 2000 . “ Probabilistic outputs for support vector machines and comparison to regularized likelihood methods ” . In In Advances in Large Margin Classifiers , Cambridge, MA : MIT Press .
  • Richard , M. and Lippman , R. 1991 . Neural network classifiers estimate Bayesian a posteriori probabilities . Neural Computation , 3 : 461 – 483 .
  • Shi , W. Z. , Li , Q. Q. and Zhu , C. Q. 2005 . Estimating the propagation error of DEM from higher-order interpolation algorithms . International Journal of Remote Sensing , 26 : 3069 – 3084 .
  • Singh , A. 1989 . Digital change detection techniques using remotely-sensed data . International Journal of Remote Sensing , 10 : 989 – 1003 .
  • Solberg , A. H.S. , Taxt , T. and Jain , A. K. 1996 . A Markov random field model for classification of multisource satellite imagery . IEEE Transactions on Geoscience and Remote Sensing , 34 : 100 – 113 .
  • Stoms , D. M. , Davis , F. W. and Cogan , C. B. 1992 . Sensitivity of wildlife habitat models to uncertainties in GIS data . Photogrammetric Engineering and Remote Sensing , 58 : 843 – 850 .
  • Stow , D. A. 1999 . Reducing the effects of misregistration on pixel-level change detection . International Journal of Remote Sensing , 20 : 2477 – 2483 .
  • Townshend , J. R.G. , Justice , C. O. , Gurney , C. and McManus , J. 1992 . The impact of misregistration on change detection . IEEE Transactions on Geoscience and Remote Sensing , 30 : 1054 – 1060 .
  • Veregin , H. 1995 . Developing and testing of an error propagation model for GIS overlay operations . International Journal of Geographical Information Science , 9 : 595 – 619 .
  • Wang , G. X. , Gertner , G. Z. , Fang , S. F. and Anderson , A. B. 2005 . A methodology for spatial uncertainty analysis of remote sensing and GIS products . Photogrammetric Engineering and Remote Sensing , 71 : 1423 – 1432 .

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