Now showing items 1-3 of 3

    • Classification of Ships Using Real and Simulated Data in a Convolutional Neural Network 

      Ødegaard, Nina; Knapskog, Atle Onar; Cochin, Christian; Louvigne, Jean Christophe (2016)
      Convolutional neural networks (CNNs) have recently been applied successfully in large scale image classification competitions for photographs found on the Internet. As our brains are able to recognize objects in the images, ...
    • Comparison of simulated and measured ISAR images flow of a ship at sea 

      Vignaud, Luc; Ødegaard, Nina; Ruggiero, Henri; Cochin, Christian; Louvigne, Jean Christophe; Knapskog, Atle Onar (2021-07-02)
      The aim of this work is to simulate a flow of ISAR images for a ship at sea seen from an airborne radar, in rigorously the same configuration as it has been measured by a real SAR using the recorded motion data of both ...
    • Use of n-vector for radar applications 

      Ødegaard, Nina; Gade, Kenneth (2018)
      This paper aims to alert the radar community about the benefits of using n-vector for representing global horizontal position. Unlike other alternatives, n-vector position calculations are simple, vectorized and exact at ...