Segmentation of multispectral SAR images for archaeological studies

Alessandro Andreadis; Giuliano Benelli; Claudia Binazzi; Andrea Garzelli

doi:10.1117/12.256095

4 November 1996 Segmentation of multispectral SAR images for archaeological studies

Alessandro Andreadis, Giuliano Benelli, Claudia Binazzi, Andrea Garzelli

Proceedings Volume 2818, Multispectral Imaging for Terrestrial Applications; (1996) https://doi.org/10.1117/12.256095
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

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.

Citation Download Citation

Alessandro Andreadis, Giuliano Benelli, Claudia Binazzi, and Andrea Garzelli "Segmentation of multispectral SAR images for archaeological studies", Proc. SPIE 2818, Multispectral Imaging for Terrestrial Applications, (4 November 1996); https://doi.org/10.1117/12.256095

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