Proceedings, XXth congress: Proceedings, XXth congress

Altan, M. Orhan

Bibliographic data

Multivolume work

Persistent identifier:: 1663674213

Title:: Proceedings, XXth congress

Sub title:: Istanbul, 12 - 23 July 2004

Year of publication:: 2004

Place of publication:: Istanbul

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 1663674213

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.; Auch bezeichnet als XXth International Congress for Photogrammetry and Remote Sensing

Editor:: Altan, M. Orhan

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Document type:: Multivolume work

Volume

Persistent identifier:: 166368779X

Title:: Proceedings, XXth congress

Scope:: IV, 226 Seiten

Year of publication:: 2004

Place of publication:: Istanbul

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 166368779X

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(35,B8)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Altan, M. Orhan

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: IMPROVEMENT OF IMAGE CLASSIFICATION WITH THE INTEGRATION OF TOPOGRAPHICAL DATA Deniz Gerçek

Document type:: Multivolume work

Structure type:: Chapter

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B-YF. Istanbul 2004 precious information that magnitude of class-topography correlation is highly related to the degree of accuracy of classes. REFERENCES Anderson J. R., Hardy E. E., Roach J. T. and Witmer R. E. 1976. *A Land Use and Land Cover Classification System for the Use with Remote Sensor Data* Geological Survey Professional Paper. U.S. Government Printing Office, Washington D.C. Bruzzone L., Conese C., Maselli F. and Roli F. 1997. “Multisource Classification of Complex Rural Areas by Statistical and Neural-Network Approaches" Photogrammetric Engineering and Remote Sensing Vol. 63, No. 5, pp. 523-533. CORINE Technical Guide, 1993. European Commission, Office for Official Publications of the European Community, France. Eiumnoh A. and Shresta R. P. 1997. “Can DEM Enhance the Digital Image Classification?” Proceedings of Asian Conference on Remote Sensing. Favela J. and Torres J. 1998. “A Two Step Approach to Satellite Image Classification Using Fuzzy Neural Networks and the 1D3 Learning Algorithm" Expert Systems with Applications Vol. 14, pp. 211-218. Foody G. M., Campbell N. A., Trodd N. M. and Wood T. F. 1992. “Derivation and Applications of Probabilistic Measures of Class Membership from the Maximum Likelihood Classification” Photogrammetric Engineering and Remote Sensing Vol. 58, No.9, pp. 1335-1341. Gahegan M. and Flack J. 1996. “A Model to Support the Integration of Image Understanding Techniques within a GIS” Photogrammetric Engineering and Remote Sensing Vol. 62, No. 5, pp. 483-490. Harris, P. M. and Ventura S. J. 1995. “The Integration of Geographic Data with Remotely Sensed Imagery to Improve Classification in an Urban Area” Photogrammetric Engineering and Remote Sensing Vol. 61, No. 8, pp. 993-998. Hutchinson, C. F. 1982. “Techniques for Combining Landsat and Ancillary Data for Digital Classification Improvement” Photogrammetric Engineering and Remote Sensing Vol. 48, No. 1, pp.123-130. Janssen L. L. F., Jaarsma M. N. and Linden E. T. M. 1990. "Integrating Topographic Data with Remote Sensing for Land Cover Classification” Photogrammetric Engineering and Remote Sensing Vol. 56, No. 11, pp. 1503-1506. Jensen J. R., 1996. Introductory Digital Image Processing A Remote Sensing Perspective 2nd edition, Upper Saddle River, Pretince Hall, New Jersey, pp. 200-202. Lillesand, R. M. and R. M. Kiefer, 1994. Remote Sensing and Image Interpretation, 3rd edition, John Wiley and Sons, New York, pp. 623-627. Maselli F., Conese C., Filippis T. D. and Romani M. 1995. “Integration of Ancillary Data into a Maximum Likelihood Classifier with Nonparametric Priors” ISPRS Journal of Photogrammetry and Remote Sensing Vol. 50, No. 2, pp. 2-11. Mesev, 1998. “The Use of Census data in Urban Image Classification” Photogrammetric Engineering and Remote Sensing Vol. 64, No. 5, pp. 431-438. Ricchetti E., 2000. Multispectral Satellite Image and Ancillary Data Integration for Geological Classification, Photogrammetric Engineering and Remote Sensing Vol. 66, No. 4, pp. 429-437. Strahler A. H., T. L.Logan and N. A. Bryant, 1978. Improving Forest Cover Classification Accuracy from Landsat by Incorporating Topographic Information, Proceedings of the Twelfih International Symposium Remote Sensing of Environment, Environmental Research Institute of Michigan, pp. 927-942. On Westmoreland S. and Stow D. A. (1992) “Category Identification of Changed Land-Use Polygons in an Integrated [Image Processing Geographie Information System” Photogrammetric Engineering and Remote Sensing Vol. 58, No. 11, pp. 1593-1599. ACKNOWLEDGEMENTS I wish to thank to Dr. Vedat Toprak for his valuable contributions and support during the course of this study and Dr. M. Lütfi Süzen for his constructive suggestions. General Directorate of Forest, General Directorate of Rural Affairs and HAT GIS Tech. Inc. are thankfully acknowledged for providing the data required to implement this study.

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