DocumentCode :
297689
Title :
Detail-preserving segmentation of polarimetric SAR imagery
Author :
Andreadis, A. ; Benelli, G. ; Garzelli, A.
Author_Institution :
Sch. of Eng., Siena Univ., Italy
Volume :
1
fYear :
1996
fDate :
27-31 May 1996
Firstpage :
377
Abstract :
Polarimetric SAR data help researchers understand and quantify the scattering properties of natural scenes, and their variability under different conditions, better than single polarization SAR data. The authors 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
Keywords :
adaptive signal processing; archaeology; geophysical signal processing; geophysical techniques; image classification; image segmentation; radar imaging; radar polarimetry; radar signal processing; remote sensing by radar; spaceborne radar; synthetic aperture radar; SAR imaging; adaptive neighborhood structure; adaptive signal processing; archaeology; archeology; buried object detection; detail preservation; geophysical measurement technique; ground penetrating radar; image classification; image segmentation; land surface; multiband image; polarimetric SAR imagery; radar polarimetry; radar remote sensing; synthetic aperture radar; terrain mapping; Context modeling; Data engineering; Geophysical measurements; Image segmentation; Layout; Maximum a posteriori estimation; Polarization; Scattering; Smoothing methods; Speckle;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
Conference_Location :
Lincoln, NE
Print_ISBN :
0-7803-3068-4
Type :
conf
DOI :
10.1109/IGARSS.1996.516346
Filename :
516346
Link To Document :
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