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Proceedings Paper

Adaptive segmentation of multiband polarimetric SAR images for the identification of archaeological resources
Author(s): Alessandro Andreadis; Giuliano Benelli; Claudia Binazzi; Andrea Garzelli
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Paper Abstract

In this paper, the effectiveness of multifrequency polarimetric SAR data for archaeological studies is assessed. We propose two detail-preserving segmentation algorithms for multiband images and evaluate their performance using real multi-frequency multi-polarization SAR complex data. Adaptive neighborhood structures are selected for modeling the polarimetric complex amplitudes and the region labels, and for achieving detail- preservation. Experimental results obtained from multi-band and multi-polarization SIR-C data, selected for archaeological applications studies, show that the novel schemes produce significant visual improvements for detail preservation, and exhibit equivalent or higher classification performance with respect to the classical classification schemes.

Paper Details

Date Published: 31 December 1996
PDF: 5 pages
Proc. SPIE 2960, Remote Sensing for Geography, Geology, Land Planning, and Cultural Heritage, (31 December 1996); doi: 10.1117/12.262457
Show Author Affiliations
Alessandro Andreadis, Univ. of Siena (Italy)
Giuliano Benelli, Univ. of Siena (Italy)
Claudia Binazzi, Univ. of Siena (Italy)
Andrea Garzelli, Univ. of Siena (Italy)


Published in SPIE Proceedings Vol. 2960:
Remote Sensing for Geography, Geology, Land Planning, and Cultural Heritage
Daniel Arroyo-Bishop; Roberto Carla; Joan B. Lurie; Carlo M. Marino; A. Panunzi; James J. Pearson; Eugenio Zilioli, Editor(s)

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