Translator Disclaimer
Paper
31 December 1996 Adaptive segmentation of multiband polarimetric SAR images for the identification of archaeological resources
Author Affiliations +
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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
PROCEEDINGS
5 PAGES


SHARE
Advertisement
Advertisement
Back to Top