• DocumentCode
    3690858
  • Title

    Sentinel-1 multitemporal SAR products

  • Author

    Donato Amitrano;Francesca Cecinati;Gerardo Di Martino;Antonio Iodice;Daniele Riccio;Giuseppe Ruello

  • Author_Institution
    University of Napoli Federico II, Department of Electrical Engineering and Information Technology
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    3973
  • Lastpage
    3976
  • Abstract
    In this paper, we present a new framework for high-level processing of time series images, with particular reference to Sentinel-1 data. The proposed methodology has the goal of enhancing the interpretation of SAR imagery through the production of physical-based RGB composites, which are particularly suited for being easily interpreted by the human photo-interpreter, lowering the expertise level required for managing SAR data.
  • Keywords
    "Remote sensing","Image color analysis","Self-organizing feature maps","Coherence","Time series analysis","Indexes","Cities and towns"
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
  • ISSN
    2153-6996
  • Electronic_ISBN
    2153-7003
  • Type

    conf

  • DOI
    10.1109/IGARSS.2015.7326695
  • Filename
    7326695
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3690858