Abstract
SAPIA is a satellite image interpretation assistant system. SAPIA is based on a model of the scene which incorporates knowledge about the shape of objects to recognized, geometrical and structural relationships among objects and operative knowledge concerning which image processing operator is appropriate for identifying and extracting objects. It salient features include:
-
its ability to work cooperatively with photo-interprets, without intruding his or her current flow of work.
-
the facilities it provides to photo-interprets for smoothly integrating new information in the model, and for improving the performance of the system.
In this paper, we give an overview of the system, enlight its main characteristic features and discuss them with respect to work done elsewhere.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Beveridge, J.R.: Segmenting images using localised histograms and region merging. International Journal of Computer Vision 2, 311–347 (1989)
Cass, T.A.: Polynomial-time geometric matching for object recognition, vol. 21, pp. 36–61. Kluwer Academic Publishers, Dordrecht (1991)
Giraudon, G., Garnesson, P., Montesinos, P.: MESSIE: un systeme multi specialistes en vision, application a l’interpretation en imagerie aerienne. Traitement du Signal 9(5), 403–419 (1991)
Grimson, W.E.L.: Object recognition research at MIT, Netherlands, vol. 21, pp. 36–61, pp. 5–8. Kluwer Academic Publishers, Dordrecht (1997)
Haralick, R.M., Shapiro, L.G.: Computer and robot vision, vol. 2. Addison-Wesley Publishing Company, Inc., Reading (1993)
Kolbe, T.H., Pliimer, L., Cremers, A.B.: Using constraints for the identification of buildings in aerial images. In: Proceedings of PACT 1996, Practical Applications, pp. 143–154 (1996)
Pau, L.F.: Context related issues in image understanding. In: Handbook of Pattern Recognition and Computer Vision, pp. 741–768. World Scientific Publishing Company, Singapore (1992)
Sandakly, F., Clement, V., Giraudon, G.: Un systeme multi-specialiste pour l’analyse de scene 3d. In: Proceedings de la conference Reconnaissance des Formes et Intelligence Artificielle, Jauary 1994, vol. 1, pp. 611–616. AFCET (1994)
Waltz, D.: Understanding line drawings of scenes with shadows. In: Psych CV 1975, pp. 19–91 (1975)
Bouma, W., Fudos, I., Hoffmann, C., Cai, J., Paige, R.: A geometric constraint solver. Technical Report, CSD-TR-93-054 (1993)
Zlotnick, A., Carnine Jr., P.D.: Finding road seeds in aerial images. CVGIP Image Understanding 57(2), 243–260 (1993)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ramparany, F., Sandt, F. (1999). SAPIA: A Model Based Satellite Image Interpretation System. In: Imam, I., Kodratoff, Y., El-Dessouki, A., Ali, M. (eds) Multiple Approaches to Intelligent Systems. IEA/AIE 1999. Lecture Notes in Computer Science(), vol 1611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-48765-4_62
Download citation
DOI: https://doi.org/10.1007/978-3-540-48765-4_62
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66076-7
Online ISBN: 978-3-540-48765-4
eBook Packages: Springer Book Archive