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Proceedings Paper

Segmentation of multispectral SAR images for archaeological studies
Author(s): Alessandro Andreadis; Giuliano Benelli; Claudia Binazzi; Andrea Garzelli
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Paper Abstract

In this paper, 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: 4 November 1996
PDF: 5 pages
Proc. SPIE 2818, Multispectral Imaging for Terrestrial Applications, (4 November 1996); doi: 10.1117/12.256095
Show Author Affiliations
Alessandro Andreadis, Univ. di Siena (Italy)
Giuliano Benelli, Univ. di Siena (Italy)
Claudia Binazzi, Univ. di Siena (Italy)
Andrea Garzelli, Univ. di Siena (Italy)

Published in SPIE Proceedings Vol. 2818:
Multispectral Imaging for Terrestrial Applications
Brian Huberty; Joan B. Lurie; Jule A. Caylor; Pol Coppin; Pierre C. Robert, Editor(s)

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