CERES
Library Services
  • Communities & Collections
  • Browse CERES
  • Library Staff Log In
    Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Belloni, Carole D. L."

Now showing 1 - 1 of 1
Results Per Page
Sort Options
  • Loading...
    Thumbnail Image
    ItemOpen Access
    SAR automatic target recognition based on convolutional neural networks
    (IEEE, 2018-05-28) Kechagias-Stamatis, Odysseas; Aouf, Nabil; Belloni, Carole D. L.
    We propose a multi-modal multi-discipline strategy appropriate for Automatic Target Recognition (ATR) on Synthetic Aperture Radar (SAR) imagery. Our architecture relies on a pre-trained, in the RGB domain, Convolutional Neural Network that is innovatively applied on SAR imagery, and is combined with multiclass Support Vector Machine classification. The multi-modal aspect of our architecture enforces the generalisation capabilities of our proposal, while the multi-discipline aspect bridges the modality gap. Even though our technique is trained in a single depression angle of 17°, average performance on the MSTAR database over a 10-class target classification problem in 15°, 30° and 45° depression is 97.8%. This multi-target and multi-depression ATR capability has not been reported yet in the MSTAR database literature.

Quick Links

  • About our Libraries
  • Cranfield Research Support
  • Cranfield University

Useful Links

  • Accessibility Statement
  • CERES Takedown Policy

Contacts-TwitterFacebookInstagramBlogs

Cranfield Campus
Cranfield, MK43 0AL
United Kingdom
T: +44 (0) 1234 750111
  • Cranfield University at Shrivenham
  • Shrivenham, SN6 8LA
  • United Kingdom
  • Email us: researchsupport@cranfield.ac.uk for REF Compliance or Open Access queries

Cranfield University copyright © 2002-2025
Cookie settings | Privacy policy | End User Agreement | Send Feedback