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Title
New perspectives to save cultural heritage
Author
Altan, M. Orhan

CI PA 2003 XIX th International Symposium, 30 September - 04 October, 2003, Antalya, Turkey
Rule images that were generated during the classification were
considered. In rule images the dark pixels mean a similar
spectral signature to the selected class, while the gray scale
pixels mean a different one. Rule images are very helpful in
highlighting the presence of buried archaeological structure on
the bases of different spectral characteristics of the ground.
The rule image of the class “buildings” enabled us to recognize
circular anomalies approximately 100 m from the west side of
the Sant’Ilario monastery (figure 3).
figure 3- Sant’llario area and anomalies singled out in the rule image of
“buildings” class.
In the San Massimo area, north to the church is possible to
single out a linear trace in the rule images of the buildings and
streets classes(figure 4). At the moment we are not able to
interpret these anomalies and to understand if they are
archeological features. A field survey have to be done to check
these anomalies. This operation will be very important because
it would prevent any kind of misidentification of non-
archaeological features.
7. CONCLUSION
The test areas analysis has identified some interesting anomalies
that have to be checked on the ground. A positive identification
would permit us to enter and link data in the Marchesato di
Saluzzo GIS. In this paper we have proposed a procedure to
single out anomalies and archaeological features inside two
areas selected by archive and bibliography research.
The next step will be to apply a SAM classification on the
whole image. Before doing this, a correct radiometric
calibration and lithotype and vegetation cover characterization
are necessary. Moreover in the future we would like to try to
better the image orthoprojection and to improve the accuracy,
working on the development of a rigorous sensor model.
REFERENCES
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7.1 Acknowledgements and Appendix (optional)
The study is part of a 2 year research project that is co-financed
by MURST (2001) entitled “The study of remotely sensed
images for environmental analyses”.