• DocumentCode
    2190777
  • Title

    SAR backscatter multitemporal compositing via local resolution weighting

  • Author

    Small, David

  • Author_Institution
    Dept. of Geogr., Univ. of Zurich, Zurich, Switzerland
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    4521
  • Lastpage
    4524
  • Abstract
    A method is presented for generating composite SAR imagery from a set of multiple radiometrically terrain-corrected (RTC) backscatter images and their co-registered local illuminated areas. The process is implemented in map geometry: the resolution of each image is estimated locally as the inverse of the local contributing area and used to weight the contributions from all available observations. Some potential contributors could be out-of-swath or occluded by radar shadow. The resulting composite backscatter image can trade off temporal resolution for improved local spatial resolution while simultaneously increasing the local number of looks. The composite image is characterized by more homogenous properties (resolution, noise) in comparison to single acquisitions. The technique is demonstrated using ScanSAR data from ENVISAT ASAR and Radarsat-2.
  • Keywords
    backscatter; geophysical image processing; image resolution; radar imaging; radiometry; remote sensing by radar; ENVISAT ASAR; Radarsat-2; SAR backscatter multitemporal compositing; ScanSAR data; composite SAR image generation; composite backscatter image; coregistered local illuminated area; image resolution; local contributing area; local resolution weighting; local spatial resolution; map geometry; multiple radiometrically terrain corrected backscatter image; radar shadow; temporal resolution; Backscatter; Radiometry; Remote sensing; Spatial resolution; Synthetic aperture radar; Geometry; Radar terrain factors; Radiometry; SAR; Terrain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6350465
  • Filename
    6350465