Efficient nonparametric extraction of urban footprint from VHR SAR images

Andrea Garzelli; Claudia Zoppetti

doi:10.1117/12.2326677

9 October 2018 Efficient nonparametric extraction of urban footprint from VHR SAR images

Andrea Garzelli, Claudia Zoppetti

Proceedings Volume 10789, Image and Signal Processing for Remote Sensing XXIV; 1078910 (2018) https://doi.org/10.1117/12.2326677
Event: SPIE Remote Sensing, 2018, Berlin, Germany

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.

Conference Presentation

Citation Download Citation

Andrea Garzelli and Claudia Zoppetti "Efficient nonparametric extraction of urban footprint from VHR SAR images", Proc. SPIE 10789, Image and Signal Processing for Remote Sensing XXIV, 1078910 (9 October 2018); https://doi.org/10.1117/12.2326677

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