Bilde av Ratha, Debanshu
Bilde av Ratha, Debanshu
Researcher Department of Electrical Engineering debanshu.ratha@uit.no +4777646589 You can find me here

Debanshu Ratha


Job description

Current (as part of Electromechanical Systems group, Narvik Campus) :

Sub-group: Satellite Data Processing and Communications

SHIPTRACK - (NFR SFF project) - Improving ship and cargo tracking using multi-source spatial data

Past (as Postdoctoral Fellow within Earth Observation group, Tromsø Campus):

  • CIRFA - (NFR SFI project) - WP2 - use satellite remote sensing for detecting, analysing, and predicting of ocean surface conditions such as sea ice, iceberg and snow for safer navigation.)

  • EXTREME EARTH - (EU Horizon 2020 project) - WP2 - Scalable Deep Learning and Extreme Earth Analytics for Big Copernicus Data with focus on the Polar Case

  • AURORA - COSMIC - (Bi-national mobility programme between NO/FR) - Denoising of Sentinel-1 dual polarimetric EW mode GRDM products for downstream applications.

  • Saloua Chlaily, Debanshu Ratha, Pigi Lozou, Andrea Marinoni :
    On Measures of Uncertainty in Classification
    IEEE Transactions on Signal Processing 2023 ARKIV / DOI
  • Debanshu Ratha, Andrea Marinoni, Torbjørn Eltoft :
    A Generalized Geodesic Distance-Based Approach for Analysis of SAR Observations Across Polarimetric Modes
    IEEE Transactions on Geoscience and Remote Sensing 2022 DOI
  • Debanshu Ratha, Malin Johansson, Andrea Marinoni, Torbjørn Eltoft :
    Performance Analysis of Roll-Invariant PolSAR Parameters from C-band images with Regard to Sea Ice Type Separation
    Electronic proceedings (EUSAR) 2022 ARKIV
  • Torbjørn Eltoft, Debanshu Ratha, Laurent Ferro-Famil :
    Polarimetric Signatures for the Analysis of Fast Sea Ice in the Belgica Bank Area
    2023
  • Ines Meraoumia, Debanshu Ratha, Emanuele Dalsasso, Loic Denis, Florence Tupin, Andrea Marinoni :
    DESPECKLING OF DUAL-POL GRD SENTINEL-1 IMAGES IN EXTRA-WIDE MODE BY DEEP LEARNING
    2023
  • Debanshu Ratha, Anthony Paul Doulgeris, Andrea Marinoni, Torbjørn Eltoft :
    On Importance of Off-Diagonal Elements in the Polarimetric Covariance Matrix: A Sea Ice Application Perspective
    2023 ARKIV
  • Debanshu Ratha, Malin Johansson, Andrea Marinoni, Torbjørn Eltoft :
    GD-derived Polarimetric Parameters for identifying Sea Ice in C-band SAR Images
    2022
  • Debanshu Ratha, Torbjørn Eltoft, Andrea Marinoni :
    Discrimination of Ice and Water using PolSAR Parameter-based Clustering
    2021

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    Research interests

    Applied Mathematics, Synthetic Aperture Radar, Image Processing.


    Member of research group


    Member of project