Full text: XIXth congress (Part B7,1)

Cavazzini, Armando 
The results that have been achieved are promising enough to propose MIVIS hyperspectral sensor as a tool for supporting 
and integrating geographical information systems for risk assessment in an industrial area. When MIVIS images and GIS 
are combined, a powerful tool is created. Spectral imagery provides critical input to GIS thematic layers, maintaining the 
currency and accuracy of the data and serving as a base for the data layers. GIS, on the other hand, provides the capability to 
have additional information incorporated and provides further information data layers that cannot easily be extracted from 
the spectral imagery only. 
ACKNOWLEDGEMENTS 
We are pleased to acknowledge the comments and suggestions of dr. Riccardo De Paulis and dr. Ennio Giusti and to 
confirm that none of them is responsible for any errors that still remain. 
REFERENCES 
Campbell J., 1987. Introduction to Remote Sensing, New York, Guilford Press, 551 p. 
Catlow D.R., Parsell R.J., Wyatt B.K., 1984. The integrated use of digital cartographic data and remotel 
y sensed imagery. 
Proceedings Integrated Approaches in Remote Sensing Guildford, UK, ESA SP., 214, pp. 41-45. 
Congalton R.G. and Mead R.A., 1983. A quantitative method to test for consistency and correctness in 
photointerpretation. 
Photogrammetric Engineering and Remote Sensing, 49(1): 69-74. 
Dillon W. and Goldstein M., 1984. Multivariate Analysis, Methods and Applications. John Wiley & Sons. 
Kenk E., Sondheim M. and Yee B., 1988. Methods for 
improving accuracy of thematic mapper ground cover classification. 
Canadian. Journal of Remote Sensing 14, 1:17-31. 
Ferrarini A., Zaccarelli N., Confronto tra algoritmi parametrici di classificazione per dati iperspettrali MIVIS (in 
preparation). 
Johnson R. and Wichern D., 1992. Applied Multivariate Statistical Methods, Third Edition, Prentice Hall. 
Jensen J.R., 1996. Introductory Digital Image Processing: A Remote Sensing Prospective. Prentice Hall Series in 
Geographic Information Science, Keith C. Clarke Series Editor. 
Van der Lann F.B., 1988. Improvement of classification results from a satellite image using context information from a 
topographic map. Proceedings 16“ Intern. Congress ISPRS, Kyoto, Japan, Vol.27, Part B8: VII, pp. 98-108. 
Wilkinson G., 1993. Neural Networks: a new analysis tool for GIS and remote sensing, GIS Europe, 2, 38-40. 
  
242 International Archives of Photogrammetry and Remote Sensing. Vol. XXXIII, Part B7. Amsterdam 2000. 
  
  
——————————— SN 
 
	        
Waiting...

Note to user

Dear user,

In response to current developments in the web technology used by the Goobi viewer, the software no longer supports your browser.

Please use one of the following browsers to display this page correctly.

Thank you.