Abstract
We study the problem of urban areas detection from satellite images. In particular, we consider two types of satellite images: SAR (Synthetic Aperture Radar) images and optical images. We describe a simple algorithm for the detection of urban areas. We show that the performance of the detection algorithm can be improved using a fusion procedure of the SAR and optical images considered. The fusion algorithm presented in this paper is based on a simple use of ideas taken from calculus of variations and it makes possible to do together the filtering and the data fusion steps. Some numerical examples obtained processing real data are reported at the end of the paper. In the website http: //web. unicam. it/ matinf /f atone/wl several animations relative to these numerical examples can be seen.
The research on SAR/optical data fusion has been carried out with the support of ESA-ESRIN through the Esrin Contract No. 13769/99/I-DC “Study of optical/SAR complementarity and data fusion techniques” ganted to the Università di Camerino, Inaly. The authors thank A.R. Conn, N.I.M. Gould and Ph.L. Toint for making available, Free of charge, the optimization package LANCELOT.
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Fatone, L., Maponi, P., Zirilli, F. (2006). Data Fusion and Filtering Via Calculus of Variations. In: Ceragioli, F., Dontchev, A., Furuta, H., Marti, K., Pandolfi, L. (eds) Systems, Control, Modeling and Optimization. CSMO 2005. IFIP International Federation for Information Processing, vol 202. Springer, Boston, MA . https://doi.org/10.1007/0-387-33882-9_13
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DOI: https://doi.org/10.1007/0-387-33882-9_13
Publisher Name: Springer, Boston, MA
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