127
Views
2
CrossRef citations to date
0
Altmetric
Original Articles

Evaluation of soft possibilistic classifications with non-specificity uncertainty measures

, , &
Pages 5199-5219 | Received 16 Jun 2008, Accepted 15 Dec 2008, Published online: 13 Oct 2010

References

  • Arora , M.K. and Foody , G.M. 1997 . Log-linear modelling for the evaluation of the variables affecting the accuracy of probabilistic, fuzzy and neural network classifications . International Journal of Remote Sensing , 18 : 785 – 798 .
  • Baatz , M. and Schape , A. Multiresolution segmentation – an optimization approach for high quality multi-scale image segmentation . Angewandte Geographische Informationsverarbeitung XII, Beitrage Zum AGIT-Symposium Salzburg 2000 . Karlsruhe . Edited by: Strobl , J. , Blaschke , T. and Griesebner , G. pp. 12 – 23 . Herbert Wichmann .
  • Bastin , L. 1997 . Comparison of fuzzy c-means classification, linear mixture modeling and MLC probabilities as tools for unmixing coarse pixels . International Journal of Remote Sensing , 18 : 3629 – 3648 .
  • Binaghi , E. , Brivio , P.A. , Ghezzi , P. and Rampini , A. 1999 . A fuzzy set-based accuracy assessment of soft classification . Pattern Recognition Letters , 20 : 935 – 948 .
  • Bossard , M. , Feranec , J. and Otahel , J. CORINE Land Cover Technical Guide – Addendum 2000 . Technical report no. 40 . 2000 . Copenhagen: European Environmental Agency
  • Brown , M. , Lewis , H. and Gunn , S. 2000 . Linear spectral mixing models and support vector machines for remote sensing . IEEE Transactions on Geoscience and Remote Sensing , 38 : 2346 – 2360 .
  • Doan , H.T.X. and Foody , G.M. 2007 . Increasing soft classification accuracy through the use of an ensemble of classifiers . International Journal of Remote Sensing , 28 : 4609 – 4623 .
  • Foody , G.M. 1996 . Approaches for the production and evaluation of fuzzy land cover classifications from remotely-sensed data . International Journal of Remote Sensing , 17 : 1317 – 1340 .
  • Foody , G.M. 2002 . Status of land cover classification accuracy assessment . Remote Sensing of Environment , 80 : 185 – 201 .
  • Goetz , S.J. , Wright , R.K. , Smith , A.J. , Zinecker , E. and Schaub , E. 2003 . Remote Sensing of Environment . IKONOS imagery for resource management: tree cover, impervious surfaces and riparian buffer analyses in the mid-atlantic region , 88 : 195 – 208 .
  • Gonçalves , L. and Caetano , M. Classificação das imagens do satélite IKONOS utilizando uma abordagem orientada por objectos . Actas da Conferência de Cartografia e Geodesia . Lisbon . Edited by: Bastos , L. and Matos , J. pp. 287 – 298 . Lidel .
  • Higashi , M. and Klir , G. 1983 . On measure of fuzziness and fuzzy complements . International Journal of General Systems , 8 : 169 – 180 .
  • Ibrahim , M.A. , Arora , M.K. and Ghosh , S.K. 2005 . Estimating and accommodating uncertainty through the soft classification of remote sensing data . International Journal of Remote Sensing , 26 : 2995 – 3007 .
  • Jacobsen , K. Mapping with IKONOS images . Proceedings of the 22nd EARSeL Symposium . Prague , Czech Republic. In4–6 June 2002
  • Klir , G. 2000 . “ Measures of uncertainty and information ” . In Fundamentals of Fuzzy Sets , Edited by: Dubois , D. and Prade , H. 439 – 457 . Dordrecht : Kluwer Academic Publishers .
  • Klir , G. 2004 . Generalized information theory: aims, results and open problems . Reliability Engineering and Systems Safety , 85 : 21 – 38 .
  • Klir , G. and Yuan , B. 1995 . Fuzzy Sets and Fuzzy Logic: Theory and Applications , Upper Saddle River , NJ : Prentice Hall PTR .
  • Lu , D. and Weng , Q. 2007 . A survey of image classification methods and techniques for improving classification performance . International Journal of Remote Sensing , 28 : 823 – 870 .
  • Mackay , D. , Samanta , S. , Ahl , D. , Ewers , B. , Gower , S. and Burrows , S. 2003 . Automated parameterization of land surface process models using fuzzy logic . Transactions in GIS , 7 : 139 – 153 .
  • Maselli , F. , Conese , C. , Filippis , T.D. and Norcini , S. 1995 . Estimation of forest parameters through fuzzy classification of TM data . IEEE Transactions on Geoscience and Remote Sensing , 33 : 77 – 84 .
  • Maselli , F. , Rodolfi , A. and Conese , C. 1996 . Fuzzy classification of spatially degraded Thematic Mapper data for the estimation of sub-pixel components . International Journal of Remote Sensing , 17 : 537 – 551 .
  • Oki , K. , Uenishi , T.M. , Omasa , K. and Tamura , M. 2004 . Accuracy of land cover area estimated from coarse spatial resolution images using an unmixing method . International Journal of Remote Sensing , 25 : 1673 – 1683 .
  • Ottavianelli , G. 2007 . Synthetic aperture radar remote sensing for landfill monitoring , UK : PhD thesis, University of Cranfield .
  • Pontius , R.G. and Cheuk , M.L. 2006 . A generalized cross-tabulation matrix to compare soft-classified maps at multiple resolutions . International Journal of Geographical Information Science , 20 : 1 – 30 .
  • Pal , N. and Bezdek , J. 2000 . “ Quantifying different facets of fuzzy uncertainty ” . In Fundamentals of Fuzzy Sets , Edited by: Dubois , D. and Prade , H. 459 – 480 . Dordrecht : Kluwer Academic Publishers .
  • Ricotta , C. 2005 . On possible measures for evaluating the degree of uncertainty of fuzzy thematic maps . International Journal of Remote Sensing , 26 : 5573 – 5583 .
  • Tso , B. and Mather , P.M. 2001 . Classification Methods for Remotely Sensed Data , London : Taylor & Francis .
  • Wang , F. 1990 . Improving remote sensing image analysis though fuzzy information representation . Photogrammetric Engineering and Remote Sensing , 56 : 1163 – 1169 .
  • Woodcock , C.E. and Gopal , S. 2000 . Fuzzy set theory and thematic maps: accuracy assessment and area estimation . International Journal of Geographical Information Science , 14 : 153 – 172 .
  • Yager , R. 1982 . Measuring tranquility and anxiety in decision making: an application of fuzzy sets . International Journal of General Systems , 8 : 139 – 146 .
  • Yager , R. 1992 . On the specificity of a possibility distribution . Fuzzy Sets and Systems , 50 : 279 – 292 .
  • Zhang , J. and Foody , G.M. 2001 . Fully-fuzzy supervised classification of sub-urban land cover from remotely sensed imagery: statistical and artificial neural network approaches . International Journal of Remote Sensing , 22 : 615 – 628 .

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.