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 1m-resolution 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.

Zoppetti, C., Garzelli, A. (2018). Efficient nonparametric extraction of urban footprint from VHR SAR images. In Proc. SPIE 10789, Image and Signal Processing for Remote Sensing XXIV (pp.107891001-107891008). Bellingham : SPIE-INT soc optical engineering [10.1117/12.2326677].

Efficient nonparametric extraction of urban footprint from VHR SAR images

Zoppetti, Claudia;Garzelli, Andrea
2018-01-01

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 1m-resolution 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.
2018
9781510621619
9781510621626
Zoppetti, C., Garzelli, A. (2018). Efficient nonparametric extraction of urban footprint from VHR SAR images. In Proc. SPIE 10789, Image and Signal Processing for Remote Sensing XXIV (pp.107891001-107891008). Bellingham : SPIE-INT soc optical engineering [10.1117/12.2326677].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/1064736