Segmentation of multispectral SAR images for archaeological studies

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. © 1996 SPIE. All rights reserved.