Reasoning about changes of land covers with fuzzy settings

References

• Bezdek , J. C. , Ehrlich , R. and Full , W. 1984 . FCM: the fuzzy C‐mean clustering algorithm. . Computers and Geosciences , 10 : 191 – 203 .
   Web of Science ®Google Scholar
• Brown , D. G. 1998 . Classification and boundary vagueness in mapping presettlement forest types. . International Journal of Geographic Information Science , 12 : 105 – 129 .
   Web of Science ®Google Scholar
• Burrough , P. A. 1989 . Fuzzy mathematical methods for soil survey and land evaluation. . Journal of Soil Science , 40 : 477 – 492 .
   Google Scholar
• Burrough , P. A. 1996 . “ Natural objects with indeterminate boundaries. ” . In Geographic Objects with Indeterminate Boundaries , Edited by: Burrough , P. A and Frank , A. U . 3 – 28 . London : Taylor & Francis .
   Google Scholar
• Cheng , T. , Molenaar , M. and Lin , H. 2001 . Formalizing fuzzy objects from uncertain classification results. . International Journal of Geographical Information Science , 15 : 27 – 42 .
   Web of Science ®Google Scholar
• Chi , Z. , Wu , J. and Yan , H. 1995 . Handwritten numeral recognition using self‐organizing maps and fuzzy rules. . Pattern Recognition , 28 : 59 – 66 .
   Web of Science ®Google Scholar
• Chi , Z. and Yan , H. 1995 . Image Segmentation using fuzzy rules derived from K‐means clusters. . Journal of Electronic Imaging , 4 : 199 – 206 .
   Google Scholar
• Clementini , E. and Di Felice , P. 1996 . “ An algebraic model for spatial objects with indeterminate boundaries. ” . In Geographic Objects with Indeterminate Boundaries , Edited by: Burrough , P. A and Frank , A. U . 155 – 169 . London : Taylor & Francis .
   Google Scholar
• Cross , V. and Firat , A. 2000 . Fuzzy objects for geographical information systems. . Fuzzy Sets and Systems , 113 : 19 – 36 .
   Web of Science ®Google Scholar
• Dickerson , J. and Kosko , B. 1993 . Fuzzy function learning with covariance ellipsoids. Proceedings of the IEEE International Conference on Neural Networks . 1993 , San Francisco, CA. Vol. 3 , pp. 1162 – 1167 .
   Google Scholar
• Dubois , D. and Prade , H. 1980 . Fuzzy Sets and Systems: Theory and Applications , New York : Academic Press .
   Google Scholar
• Edwards , G. and Lowell , K. 1996 . Modeling uncertainty in photo‐interpreted boundaries. . Photogrammetric Engineering and Remote Sensing , 62 : 337 – 391 .
   Web of Science ®Google Scholar
• Fisher , P. 1996 . “ Boolean and fuzzy region. ” . In Geographic Objects with Indeterminate Boundaries , Edited by: Burrough , P. A and Frank , A. U . 87 – 94 . London : Taylor & Francis .
   Google Scholar
• Gong , P. 1993 . Change detection using principal components analysis and fuzzy sets theory. . Canadian Journal of Remote Sensing , 19 : 22 – 29 .
   Google Scholar
• Gopal , S. , Woodcock , C. E. and Strahler , A. H. 1999 . Fuzzy neural network classification of global land cover from a 1° AVHRR data set. . Remote Sensing of Environment , 67 : 230 – 243 .
   Web of Science ®Google Scholar
• Jensen , J. R. 1996 . Introductory Digital Image Processing, A Remote Sensing Perspective , 2 , Upper Saddle River, NJ : Prentice‐Hall .
   Google Scholar
• Liu , Y. M. and Luo , M. K. 1997 . Fuzzy Topology , Singapore : World Scientific .
   Google Scholar
• Mannan , B. , Roy , J. and Ray , A. K. 1998 . Fuzzy ARTMAP supervised classification of multi‐spectral remotely‐sensed images. . International Journal of Remote Sensing , 19 : 767 – 774 .
   Web of Science ®Google Scholar
• Mas , J. F. 1999 . Monitoring land‐cover changes: a comparison of change detection techniques. . International Journal of Remote Sensing , 20 : 139 – 152 .
   Web of Science ®Google Scholar
• Metternicht , G. 1999 . Change detection assessment using fuzzy sets and remotely sensed data: an application of topographic map revision. . ISPRS Journal of Photogrammetry and Remote Sensing , 54 : 221 – 233 .
   Web of Science ®Google Scholar
• Molenaar , M. 1996 . “ A syntactic approach for handling the semantics of fuzzy spatial objects. ” . In Geographic Objects with Indeterminate Boundaries , Edited by: Burrough , P. A and Frank , A. U . 207 – 224 . London : Taylor & Francis .
   Google Scholar
• Petit , C. C. and Lambin , E. F. 2001 . Integration of multi‐source remote sensing data for land cover change detection. . International Journal of Geographic Information Science , 15 : 785 – 803 .
   Web of Science ®Google Scholar
• Power , C. , Simms , A. and White , R. 2001 . Hierarchical fuzzy pattern matching for the regional comparisons of land use maps. . International Journal of Geographic Information Science , 15 : 77 – 100 .
   Web of Science ®Google Scholar
• Richards , J. A. 2000 . An Introduction of Remote Sensing Digital Image Analysis , New York : Springer .
   Google Scholar
• Schneider , M. 1999 . “ Uncertainty management for spatial data in databases: fuzzy spatial data types. ” . In The 6th International Symposium on Advances in Spatial Databases (SSD), LNCS 1651 , 330 – 351 . New York : Springer .
   Google Scholar
• Schneider , M. 2000 . “ Metric operations on fuzzy spatial objects in databases. ” . In The 8th ACM Symposium on Geographic Information Systems (ACM GIS) 21 – 26 .
   Google Scholar
• Shi , W. Z. , Ehlers , M. and Tempfli , K. 1999 . Analytical modeling of positional and thematic uncertainties in the integration of remote sensing and geographical information systems. . Transactions in GIS , 3 : 119 – 136 .
   Google Scholar
• Sun , C. T. and Jang , J. S. 1993 . “ A neuro‐fuzzy classifier and its applications. ” . In Proceedings of the 2nd IEEE International Conference on Fuzzy Systems 94 – 98 . San Francisco, CA
   Google Scholar
• Tang , X. M. 2004 . Modeling Fuzzy Spatial Objects in Fuzzy Topological Spaces with Application to Land Cover Changes , Enschede, , The Netherlands : ITC . PhD thesis
   Google Scholar
• Tang , X. M. and Kainz , W. 2002 . “ Analysis of topological relations between fuzzy regions in a general fuzzy topological space. ” . In Proceedings of the Joint Program of Spatial Data Handling (SDH) '02 and Canadian Geomatics Conference Ottawa, , Canada
   Google Scholar
• Tang , X. M. and Kainz , W. 2003 . “ Formation of fuzzy land cover objects from TM images. ” . In Advances in Spatial Analysis and Decision Making , Edited by: Li , Z , Zhou , Q and Kainz , W . 73 – 87 . Hong Kong : Balkema .
   Google Scholar
• Tang , X. M. , Kainz , W. and Fang , Y. 2003 . “ Modeling of fuzzy spatial objects and their topological relations. ” . In Proceedings of the 2nd Symposium on Spatial Data Quality (SDQ) , Edited by: Shi , W. Z , Goodchild , M. F and Fisher , P . 34 – 50 . Hong Kong : The Hong Kong Polytechnic University .
   Google Scholar
• Wang , F. 1990 . Fuzzy supervised classification of remote sensing images. . IEEE Transactions on Geosciences and Remote Sensing , 28 : 194 – 201 .
   Web of Science ®Google Scholar
• Winter , S. 2000 . Uncertain topological relations between imprecise regions. . International Journal of Geographical Information Science , 14 : 411 – 430 .
   Web of Science ®Google Scholar
• Zadeh , L. A. 1965 . Fuzzy sets. . Information and Control , 8 : 338 – 353 .
   Web of Science ®Google Scholar
• Zimmerman , H. 1985 . Fuzzy Set Theory and its Applications , Boston, MA : Kluwer Nijhoff .
   Google Scholar