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RSS FeedsRemote Sensing, Vol. 11, Pages 132: Urban Tomographic Imaging Using Polarimetric SAR Data (Remote Sensing)


11 january 2019 15:00:23

Remote Sensing, Vol. 11, Pages 132: Urban Tomographic Imaging Using Polarimetric SAR Data (Remote Sensing)

In this paper, we investigate the potential of polarimetric Synthetic Aperture Radar (SAR) tomography (Pol-TomoSAR) in urban applications. TomoSAR exploits the amplitude and phase of the received data and offers the possibility to resolve multiple scatters lying in the same range–azimuth resolution cell. In urban environments, this issue is very important since layover causes multiple coherent scatterers to be mapped in the same range–azimuth image pixel. To achieve reliable and accurate results, TomoSAR requires a large number of multi-baseline acquisitions which, for satellite-borne SAR systems, are collected with long time intervals. Then, accurate tomographic reconstructions would require multiple scatterers to remain stable between all the acquisitions. In this paper, an extension of a generalized likelihood ratio test (GLRT)-based tomographic approach, denoted as Fast-Sup-GLRT, to the polarimetric data case is introduced, with the purpose of investigating if, in urban applications, the use of polarimetric channels allows for reduction of the number of baselines required to achieve a given scatterer’s detection performance. The results presented show that the use of dual polarization data allows the proposed detector to work in an equivalent or better way than use of a double number of independent single polarization channels. Digg Facebook Google StumbleUpon Twitter
40 viewsCategory: Geology, Physics
Remote Sensing, Vol. 11, Pages 133: Estimation of Vegetation Productivity Using a Landsat 8 Time Series in a Heavily Urbanized Area, Central China (Remote Sensing)
Remote Sensing, Vol. 11, Pages 131: Bathymetry of Northwest Greenland Using `Ocean Melting Greenland` (OMG) High-Resolution Airborne Gravity and Other Data (Remote Sensing)
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