• DocumentCode
    3592761
  • Title

    Change detection methods in high resolution Cosmo SkyMed images

  • Author

    Lanfri, Sofia ; Scavuzzo, Marco ; Lanfri, Mario A. ; Palacio, Gabriela ; Frery, Alejandro C.

  • Author_Institution
    Inst. Mario Gulich, Comision Nac. de Actividades Espaciales, Cordoba, Argentina
  • fYear
    2013
  • Firstpage
    304
  • Lastpage
    307
  • Abstract
    In this paper we compare three approaches for change detection in SAR imagery: GRLT, MIMOSA and one based on the Hellinger stochastic distance between distributions. The comparison is made using COSMO-SkyMed images from which training samples from four types of areas subjected to change, and from two areas which underwent no change. Whereas GRLT and the Hellinger distance-based procedures yielded good results, MIMOSA failed at detecting the changes.
  • Keywords
    radar imaging; remote sensing by radar; synthetic aperture radar; Cosmo SkyMed images; GRLT SAR imagery; GRLT distance-based procedure; Hellinger distance-based procedure; Hellinger stochastic distance; MIMOSA SAR imagery; change detection methods; Earth; Random variables; Remote sensing; Satellites; Stochastic processes; Synthetic aperture radar; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Synthetic Aperture Radar (APSAR), 2013 Asia-Pacific Conference on
  • Type

    conf

  • Filename
    6705075
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3592761