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Efficient nonparametric extraction of urban footprint from VHR SAR images
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Paper Abstract

Very-High-Resolution Synthetic Aperture Radar (VHR-SAR) images are of particular interest to characterize and monitor urban areas at a global scale. While automatic urban footprint extraction from SAR images can be theoretically performed at very high spatial and temporal resolutions, in practice it requires a huge amount of processing time and memory resources for a global coverage. The paper presents a fast procedure for 1mresolution Spotlight mode scene analysis which shows limited memory requirements and robustness to one-look speckle disturbance. The proposed method adopts a multiscale approach, with a radiometrically scalable scheme. Experimental results with objective assessment on Spotlight Cosmo-SkyMED images are presented and validated on reference urban classes provided by the Copernicus Urban Atlas 2012 of the European Space Agency.

Paper Details

Date Published: 9 October 2018
PDF: 8 pages
Proc. SPIE 10789, Image and Signal Processing for Remote Sensing XXIV, 1078910 (9 October 2018); doi: 10.1117/12.2326677
Show Author Affiliations
Andrea Garzelli, Univ. of Siena (Italy)
Claudia Zoppetti, Univ. of Siena (Italy)


Published in SPIE Proceedings Vol. 10789:
Image and Signal Processing for Remote Sensing XXIV
Lorenzo Bruzzone; Francesca Bovolo, Editor(s)

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