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.