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The goal of full system-level integration of the activities undertaken in remote sensing and GIS has as yet to be 
satisfied. Until this is achieved, we run the substantial risk of misunderstanding the data we use and incorrectly 
applying it in the analyses we perform. It is not impossible to integrate these two activities, but it does present some 
big challenges in the way in which we design systems and the way in which we view data. Existing approaches, 
especially those taken by current GIS, are guilty of gross simplification of the problem, which is overdue to be 
corrected. To fully address the issues presented here it is necessary to design and implement an integrated GIS from 
scratch; this is the subject of Part 2 of this document, and ongoing research by the author and colleagues. 
5. REFERENCES 
Albrecht, J., “Universal Elementary GIS Tasks- Beyond Low-Level Commands.” Proc. 6th Int. Symposium on 
Spatial Data Handling, eds Waugh, T. C. and Healey, R. G., Edinburgh, Scotland, pp. 209-222, 1994. 
Barrett, E. C. and Curtis, L. F., Introduction to Environmental Remote Sensing (3rd Edition), Chapman and Hall, 
London, UK, 1992. 
Burrough, P. A., Principles of Geographical Information Systems for Land Resources Assessment, Chapter 6, 
Clarendon Press, Oxford, 1987. 
Cressie, N. A. C., Statistics for Spatial Data. John Wiley and Sons, USA, Ch. 8, 1993. 
Davis, F. W. and Simonett, D. S., “GIS and Remote Sensing.” In Geographical Information Systems, eds Maguire, 
D. J., Goodchild, M. F. and Rhind, D. W., Longman, England, Vol. 1, Ch. 14, pp. 191-213, 1991. 
Ehlers, M., Greenlee, D., Smith, T. and Star, J., “Integration of Remote Sensing and GIS: Data and Data Access.” 
Photogrammic Engineering and Remote Sensing, Vol. 57, No. 6, pp. 669-675, 1991. 
Flack, J. C., Evidence Combination techniques for the Automated Understanding of Remotely-Sensed Data.” 
Unpublished PhD thesis, Department of GIS, Curtin University, Perth, Australia, 1996. 
Gahegan, M. N., “A Consistent User-Model for a GIS Incorporating Remotely Sensed Data.” In Innovations in GIS 
ed. Worboys, M. F., Taylor and Francis, London, 1994a. 
Gahegan, M. N., “Formal semantics for the integration of image data into geographic information systems.” In 
Advanced Geographic Data Modelling, eds Molenaar, M. and De Hoop, S., Netherlands Geodetic Commission, 
Number 40, Delft, Holland, 1994b. 
Gahegan, M. N. and Flack, J. C., “A Model to Support the Integration of Image Understanding Techniques Within a 
GIS.” To appear in Photogrammic Engineering and Remote Sensing, 1996. 
Goodchild, M. F., “Geographical Data Modeling.” Computers and Geosciences, Vol. 18, No. 4, pp. 401-408, 1992. 
Haralick, R. M., “Performance Characterization in Computer Vision”. CVGIP-Image Understanding, Vol. 60, No. 
2, pp. 245-249, 1994. 
Kass, M., Witkin, A. and Terzopoulos, D., “Snakes: Active Contour Models”. International Journal of Computer 
Vision, Vol. 1, No. 4, pp. 133-144, 1987. 
Korth, H. F. and Silberschatz, A., “Database System Concepts (second edition).” Chapter 1, McGraw-Hill, 1991. 
Langran, G., Time in geographic information systems, (Technical issues in geographical information systems), 
Taylor and Francis, London, UK, 1992. 
Lim, J. S., Two Dimensional Signal and Image Processing, Prentice Hall, New Jersey, USA, 1990. 
Muller J.-C., “Generalization of Spatial Databases.” Geographical Information Systems, eds. Maguire D J, 
Goodchild M F and Rhind D W., Longman, England. Vol. 1, Ch. 30, pp. 457-475, 1991. 
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