A feature-based approach to conflation of geospatial sources

References

• Aoe J (ed.) 1994 Computer Algorithms: String Pattern Matching Strategies (Los Alamítos, Mexico: IEEE Computer Society Press)
   Google Scholar
• Ballard D Brown C 1982 Computer Vision, 1st edition (Englewood Cliffs, NJ: Prentice-Hall)
   Google Scholar
• Bernhardsen T 2002 Geographic Information Systems, 3rd edition (New York: Wiley)
   Google Scholar
• Bruns H Egenhofer M 1996 Similarity of Spatial Scenes. Proceedings of the Seventh International Symposium on Spatial Data Handling, edited by M. Molenaar and M-J Kraak (London: Taylor & Francis), pp. 31–42
   Google Scholar
• Cormen T. H Leiserson C. E Rivest R. L 1992 Introduction to Algorithms, 8th edition (New York: McGraw-Hill, MIT Press)
   Google Scholar
• Corter J. E 1996 Tree Models of Similarity and Association. Sage University Paper Series on Quantitative Applications in the Social Sciences, Thousand Oaks, CA
   Google Scholar
• Cueto K 1999 Matching Features in Geographic Information Systems. MS Thesis, Department of Computer Science and Engineering, University of Nebraska-Lincoln
   Google Scholar
• Cueto K Samal A Seth S 2000 Context-Based Similarity for GIS Feature Matching, GIScience 2000, pp. 288–290, October 2000
   Google Scholar
• Dana P. H 1999 Geographers Craft: Coordinate Systems. <http://www.colorado.edu/geography/gcraft/notes/coordsys/coordsys.html>. Accessed: 15 November 2002
   Google Scholar
• Del Bimbo A 1999 Visual Information Retrieval (San Francisco: Morgan Kaufmann)
   Google Scholar
• Duda R Hart P 1973 Pattern Classification and Scene Analysis (New York: Wiley)
   Google Scholar
• ESRI (Environmental Systems Research Institute Inc.), 1998 ARC/INFO (7.2.1) Arcview (3.1) Online References. http://www.esri.com/
   Google Scholar
• Fellbaum C (ed.) 1998 Wordnet: An Electronic Lexical Database (Cambridge, MA: MIT Press)
   Google Scholar
• Flickner , M , Sawhney , H , Niblack , W , Ashley , J , Huang , Q , Dom , B , Gorkani , M , Hafner , J , Lee , D , Petkovic , D , Steel , D and Yanker , P . 1995 . Query by image and video content . Computer , 28 : 23 – 30 .
   Web of Science ®Google Scholar
• Geman , D and Jedynak , B . 1996 . An active testing model for tracking roads in satellite images . IEEE Transactions on Pattern Analysis and Machine Intelligence , 18 : 1 – 14 .
   Web of Science ®Google Scholar
• GIS/Trans, Ltd 2003 Conflation Background Information, http://www.gistrans.com/products/cf_info.html
   Google Scholar
• Goodchild M. F 1995 Attribute accuracy In Elements of Spatial Data Quality, 1st edition, edited by S. Guptill and J. Morrison (Oxford: Elsevier Science)
   Google Scholar
• Goodchild , M. F and Hunter , G. J . 1997 . A simple positional accuracy measure for linear features. . International Journal of Geographical Information Science , 11 : 299 – 306 .
   Web of Science ®Google Scholar
• Guptill S Morrison J (eds.) 1995 Elements of Spatial Data Quality, 1st edition (Oxford: Elsevier Science)
   Google Scholar
• Hall , P and Dowling , G . 1980 . Approximate string matching . Computing Surveys , 12 : 381 – 402 .
   Web of Science ®Google Scholar
• Helmuth S 1980 Cluster Analysis Algorithms for Data Reduction and Classification, 1st edition (New York: Wiley)
   Google Scholar
• Jones C. B 1997 Geographical Information Systems and Computer Cartography (Harlow, UK: Addison-Wesley Longman)
   Google Scholar
• Leica Geosystems 2003 IMAGINE Professional, http://www.gis.leica-geosystems.com/
   Google Scholar
• Longley P. A Goodchild M. F Maguire D. D Rhind D. W 2001 Geographic Information Systems and Science (New York: Wiley)
   Google Scholar
• Nadler M Smith E. P 1993 Pattern Recognition Engineering (New York: Wiley)
   Google Scholar
• Rodriguez A Egenhofer M 1999 Assessing similarity among geospatial feature class definitions In INTEROP'99, Lecture Notes in Computer Science 1580, edited by A. Vckorski, K. E. Brasel, and H-J Schek (Berlin: Springer), pp. 189–202
   Google Scholar
• Rodríguez , A and Egenhofer , M . 2003 . Determining semantic similarity among entity classes from different ontologies . IEEE Transactions on Knowledge and Data Engineering , 15 : 442 – 456 .
   Web of Science ®Google Scholar
• Samal A Seth S Cueto K 2001 Like-feature detection in geo-spatial sources In Proceedings of the SPIE, Geo-Spatial Image and Data Exploitation II, Volume SPIE, pp. 62–73
   Google Scholar
• Sankoff D Kruskal J (eds.) 1983 Time Warps, String Edits, and Macromolecules: The Theory and Practice of Sequence Comparison, 1st edition (Reading, MA: Addison-Wesley)
   Google Scholar
• Santini , S and Jain , R . 1999 . Similarity measures . IEEE Transactions on Pattern Analysis and Machine Intelligence , 21 : 871 – 883 .
   Web of Science ®Google Scholar
• SDTS 1999 SDTS homepage. http://mcmcweb.er.usgs.gov/sdts/
   Google Scholar
• Shapiro L. G Stockman G. C 2001 Computer Vision (New York: Prentice-Hall)
   Google Scholar
• Sonka M Hlavac V Boyle R 1999 Image Processing, Analysis, and Machine Vision (Pacific Grove, CA: Brooks/Cole)
   Google Scholar
• Stefanidis , A , Agouris , P , Bertolotto , M and Carswell , J. D . 2002 . Scale- and orientation-invariant scene similarity metrics for image queries . International Journal of Geographic Information Science , 16 : 749 – 772 .
   Web of Science ®Google Scholar
• Tversky , A . 1977 . Features of similarity . Psychological Review , 84 : 327 – 352 .
   Web of Science ®Google Scholar
• Ukkonen , E . 1985 . Algorithms for approximate string matching . Information and Control , 64 : 100 – 118 .
   Google Scholar
• Visual Learning Systems, Feature Analyst 2003 http://www.vls-inc.com/software/software.html
   Google Scholar
• Yuan S Tao C 1999 Development of conflation components In Proceedings of the International Conference on Geoinformatics and Socioinformatics, Ann Arbor, MI, pp. 1–12, http://www.umich.edu/∼iinet/chinadata/geoim99/Proceedings/yuan_shuxin.pdf
   Google Scholar