Extraction of points of interest from SAR tomograms

In this paper we present a SAR tomographic post-processing technique to extract point of interest from SAR tomograms. We propose a signal-to-noise index adapted to tomogram generated by SP-MUSIC-1 (single polarization, assuming 1 scatterer) that quantifies the separation of scatterer peak from other artifacts (noise,...). This index allows to remove artifacts caused by speckle noise, low SNR, error in orbit position, etc. The domain of validity of this approach is also analyzed over two different regions: isolated buildings and building surrounded with vegetation. Experiment results are shown using a multibaseline dataset acquired in L-band by DLR´s experimental SAR (E-SAR) on a test site near Oberpfaffenhofen/Germany.