• DocumentCode
    142819
  • Title

    A stochastic model for very high resolution SAR amplitude images of urban areas

  • Author

    Di Martino, Gerardo ; Iodice, Antonio ; Riccio, Daniele ; Ruello, Giuseppe

  • Author_Institution
    Univ. di Napoli Federico II, Naples, Italy
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    942
  • Lastpage
    945
  • Abstract
    For the new generation of spaceborne SAR sensors a resolution even better than one meter in the spotlight acquisition mode can be obtained. However, due to the involved electromagnetic mechanisms dictating SAR image formation, direct interpretation of very high-resolution (VHR) SAR images is not straightforward. In this paper, we propose the use of the power spectral density (PSD) for the analysis and interpretation of VHR SAR images of urban areas. In particular, we introduce a theoretical model of the PSD of such images, and then we test the validity of the developed model on one COSMO/SkyMed spotlight SAR image of the area of Naples, Italy. Finally, we show how the parameters of the obtained PSD can be related to meaningful physical observables of the imaged urban scene.
  • Keywords
    feature extraction; geophysical image processing; geophysical techniques; remote sensing by radar; synthetic aperture radar; COSMO-SkyMed spotlight SAR image; Italy; Naples; SAR amplitude images; SAR image formation; VHR SAR images; electromagnetic mechanisms; imaged urban scene; power spectral density; spaceborne SAR sensors; spotlight acquisition mode; stochastic model; urban areas; Business; Floors; Image resolution; Shape; Synthetic aperture radar; Urban areas; SAR; spectral estimation; urban areas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6946581
  • Filename
    6946581