Full text: Proceedings, XXth congress (Part 4)

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B4. Istanbul 2004 
  
6. REFERENCES 
Congalton R.,G., 1991. A review of assessing the of 
classifications of remotely sensed data. Remote Sensing of 
Environment, 37:35-46 
Congalton R. G., 1988. A comparison of sampling schemes 
used in generating error matrices for assessing the accuracy of 
maps generated from remotely sensed data. Photogrammetric 
Engineering and Remote sensing, Vol. 54, No. 5 May 1988 
: : : KE 
Glasziou, P. , J. Hilden,1989. Test selection measures. Medical 
decision making. Vol.9. pp. 133 - 141. 
; lw : AB: 
Gonzalez, R.C., Woods, R., 1993. Digital Image Processing. 
Addison Wesley Company , New York. Cla: 
bee! 
and 
or ii 
of à 
prox 
: witl 
Stephanou, H.E. and Sage A.P. 1987. Perspectives on data 
imperfect information processing. ieee transactions on systems, 
man and cybernetics, vol. 17, no. 5. pp. 780 - 798. 
Goodchild, M.F., 1995. Attribute accuracy. In S.C. Guptill & 
J.L. Morrison (eds.): Elements of spatial data quality. pp. 59 - 
79. International Cartographic Association / Pergamon, 
Oxford. 
ima 
feat 
asse 
Maselli F., Conse C., Petkov L., 1994.Use of probability assé 
entropy for the estimation and graphical representation of the vali 
accuracy of maximum likelihood classifications. Isprs Journal COR 
of Photogrammetry and Remote Sensing 49(2) cor 
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