• DocumentCode
    2679430
  • Title

    Forest Spatial Structure Enhancing Non-Gaussian Texture in Airborne L-Band Polsar Images

  • Author

    Fukuda, Seisuke

  • Author_Institution
    Inst. of Space & Astronaut. Sci. (ISAS), Japan Aerosp. Exploration Agency (JAXA), Sagamihara
  • Volume
    2
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    In this paper, results of texture analyses over coniferous forests using airborne L-band POLSAR data are shown. Interestingly, field experiments have disclosed existence of patch-like sparse areas in a forest division where low order parameters of the K-distribution are calculated in the texture analyses. In order to validate that the observed non-Gaussian texture is related to existence of the patch-like sparse forests, the two-component decomposition method is applied. It is successfully revealed that there is spotted high contribution of ground (double-bounce or direct) scattering in the highly textured forest division. Furthermore, difference of the ground contribution between polarization channels could encourage our understanding of polarimetric variation of the forest texture.
  • Keywords
    geophysical techniques; image enhancement; polarimetry; polarisation; radar cross-sections; remote sensing by radar; synthetic aperture radar; texture; vegetation; Japan; K-distribution; Polarimetry Synthetic Aperture Radar; SAR image; Tomakomai coniferous forest; airborne L-band POLSAR image; forest spatial structure enhancement; non-Gaussian texture; patch-like sparse forest; polarization; radar cross section; radar echoe; texture analysis; two-component decomposition method; Image analysis; Image resolution; Image texture analysis; L-band; Polarization; Radar cross section; Radar imaging; Radar scattering; Remote sensing; Spatial resolution; K-distribution; Non-Gaussian texture; airborne SAR; polarimetric texture; two-component decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-2807-6
  • Electronic_ISBN
    978-1-4244-2808-3
  • Type

    conf

  • DOI
    10.1109/IGARSS.2008.4779073
  • Filename
    4779073