Adaptive segmentation of multiband polarimetric SAR images for the identification of archaeological resources

Alessandro Andreadis; Giuliano Benelli; Claudia Binazzi; Andrea Garzelli

doi:10.1117/12.262457

31 December 1996 Adaptive segmentation of multiband polarimetric SAR images for the identification of archaeological resources

Alessandro Andreadis, Giuliano Benelli, Claudia Binazzi, Andrea Garzelli

Author Affiliations +

Proceedings Volume 2960, Remote Sensing for Geography, Geology, Land Planning, and Cultural Heritage; (1996) https://doi.org/10.1117/12.262457
Event: Satellite Remote Sensing III, 1996, Taormina, Italy

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.

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Alessandro Andreadis, Giuliano Benelli, Claudia Binazzi, and Andrea Garzelli "Adaptive segmentation of multiband polarimetric SAR images for the identification of archaeological resources", Proc. SPIE 2960, Remote Sensing for Geography, Geology, Land Planning, and Cultural Heritage, (31 December 1996); https://doi.org/10.1117/12.262457

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KEYWORDS

Polarimetry

Image segmentation

Synthetic aperture radar

Image classification

Visualization

Chemical elements

Data acquisition

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