IFEMA
Madrid, Spain
13 - 16 September 2021
Conference RS107
Image and Signal Processing for Remote Sensing XXVII
The main goal of this conference is to address advanced topics related to signal processing, image analysis, pattern recognition, machine learning and data fusion methodologies in the field of remote sensing.

Papers describing recent and original work in the following and related research topics are welcome:
  • calibration and registration
  • image enhancement and restoration
  • edge detection and segmentation
  • target detection and object recognition
  • automatic classification
  • estimation of geo- bio-physical parameters
  • artificial intelligence
  • machine learning and deep learning
  • analysis of big data
  • change detection and analysis of image time series
  • analysis of multispectral and hyperspectral images
  • analysis of SAR and LIDAR signals
  • multisensor and multisource data fusion
  • data mining techniques
  • image coding and data compression
  • remote sensing applications
  • satellite, airborne and UAV remote sensing.


  • Note: To assure a high quality conference, all abstracts will be reviewed by the conference scientific committee and co-chairs for technical merit and content.;
    Conference Committee
    Important Dates
    Abstract Due:
    28 April 2021
    Post-deadline submissions will be considered. Submit your abstract now.

    Author Notification:
    18 June 2021

    Manuscript Due Date:
    16 August 2021

    Call for
    Papers
    The main goal of this conference is to address advanced topics related to signal processing, image analysis, pattern recognition, machine learning and data fusion methodologies in the field of remote sensing.

    Papers describing recent and original work in the following and related research topics are welcome:
  • calibration and registration
  • image enhancement and restoration
  • edge detection and segmentation
  • target detection and object recognition
  • automatic classification
  • estimation of geo- bio-physical parameters
  • artificial intelligence
  • machine learning and deep learning
  • analysis of big data
  • change detection and analysis of image time series
  • analysis of multispectral and hyperspectral images
  • analysis of SAR and LIDAR signals
  • multisensor and multisource data fusion
  • data mining techniques
  • image coding and data compression
  • remote sensing applications
  • satellite, airborne and UAV remote sensing.


  • Note: To assure a high quality conference, all abstracts will be reviewed by the conference scientific committee and co-chairs for technical merit and content.
    Conference Committee
    Conference Chairs
    Conference Co-Chairs
    Program Committee
    Program Committee continued...
    • Fabio Dell'Acqua, Univ. degli Studi di Pavia (Italy)
    • Begüm Demir, Technische Univ. Berlin (Germany)
    • Peijun Du, Nanjing Univ. (China)
    • Andrea Garzelli, Univ. degli Studi di Siena (Italy)
    • Jordi Inglada, Ctr. d'Etudes Spatiales de la Biosphère (France)
    • Jun Li, Sun Yat-Sen Univ. (China)
    • Sicong Liu, Tongji Univ. (China)
    • Allan A. Nielsen, Technical Univ. of Denmark (Denmark)
    • Claudia Paris, Univ. degli Studi di Trento (Italy)
    • David Small, Univ. Zürich (Switzerland)
    • Florence Tupin, Télécom ParisTech (France)
    • Benoit Vozel, Univ. de Rennes 1 (France)
    • Josiane B. Zerubia, INRIA Sophia Antipolis - Méditerranée (France)

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