Browsing Reprints by Subject "Target classification"

Now showing items 1-13 of 13

    • 3D target shape from SAS images based on a deformable mesh 

      Coiras, Enrique; Groen, Johannes (NURC, 2009/12)
      The seafloor can nowadays be scanned with side-looking sonar that provides a very high resolution over a large swath, which has proved beneficial for underwater target detection and classification. For systems operated at ...

    • A data-driven control strategy in synergy with continuous active sonar for littoral underwater surveillance 

      Ferri, Gabriele; Munafó, Andrea; Alves, João; LePage, Kevin D. (CMRE, 2017/11)
      In this work, we describe a data-driven Mission Management Layer (MML) running on-board AUVs which manages the phases of a littoral surveillance mission and exploits the characteristics of Continuous Active Sonar (CAS) ...

    • Active contours for synthetic aperture sonar snippet registration 

      Dugelay, Samantha; Fox, Warren L. J. (CMRE, 2019/06)
      In mine-hunting operations, there is currently a strong focus on using autonomous systems in order to remove personnel and ships from the minefield. These systems must perform their missions effectively, and the collected ...

    • Ambiguity reduction of underwater targets in framework of topic modeling 

      Sildam, Jüri; LePage, Kevin D. (CMRE, 2019/06)
      An unsupervised track classification approach based on appropriate discriminative and aggregative features derived from beamformed and normalized matched-filtered data is applied to sonar multistatic tracking and extended ...

    • Autonomous networked anti-submarine warfare research and development at CMRE 

      LePage, Kevin D.; Goldhahn, Ryan A.; Alves, João; Strode, Christopher; Braca, Paolo; Ferri, Gabriele; Munafò, Andrea; Oddone, Manlio; Sildam, Jüri; Baralli, Francesco; Biagini, Stefano; Canepa, Gaetano; Colombo, Marco; Grandi, Vittorio; Grenon, Gabriel; Mazzi, Marco; Micheli, Michele; Parisi, Gerardo; Saia, Paolo; Vermeij, Arjan; Zappa, Giovanni (CMRE, 2019/06)
      CMRE has been evaluating the potential of autonomous networked ASW using underwater vehicles through a program of sonar signal processing, underwater communications, navigation and robotic behavior developments and at-sea ...

    • Demystifying deep convolutional neural networks for sonar image classification 

      Williams, David P. (CMRE, 2019/06)
      Deep convolutional neural networks (CNNs) are developed to perform underwater target classification in synthetic aperture sonar (SAS) imagery. The deep networks are trained using a huge database of sonar data collected at ...

    • Exploiting phase information in synthetic aperture sonar images for target classification 

      Williams, David P. (CMRE, 2019/05)
      It is demonstrated that the phase information present in complex high-frequency synthetic aperture sonar (SAS) imagery can be exploited for successful object classification. That is, without using the amplitude content of ...

    • Forward looking sonar mosaicing for mine countermeasures 

      Ferreira, Fausto; Djapic, Vladimir; Micheli, Michele; Caccia, Massimo (CMRE, 2019/06)
      Forward looking sonars (FLS) are nowadays popular for many different applications. In particular, they can be used for Automatic Target Recognition (ATR) in the context of Mine Countermeasures. Currently, ATR techniques ...

    • Micro-bathymetry data acquisition for 3D reconstruction of objects on the sea floor 

      Machado, Diogo; Furfaro, Thomas C.; Dugelay, Samantha (CMRE, 2019/06)
      This paper describes an effort to capture micro-bathymetry data for the end purpose of 3D object reconstruction, using an AUV-borne multibeam echo sounder. Due to the combination of relatively narrow across-track coverage ...

    • Multi-view SAS image classification using deep learning 

      Williams, David P.; Dugelay, Samantha (CMRE, 2017/11)
      A new approach is proposed for multi-view classification when sonar data is in the form of imagery and each object has been viewed an arbitrary number of times. An image-fusion technique is employed in conjunction with a ...

    • Multi-view target classification in synthetic aperture sonar imagery 

      Williams, David; Groen, Johannes (NURC, 2009/12)
      This work proposes an elegantly simple solution to the general task of classifying the shape of an object that has been viewed multiple times. Specifically, this problem is addressed in the context of underwater mine ...

    • Underwater target classification in synthetic aperture sonar imagery using deep convolutional neural networks 

      Williams, David P. (CMRE, 2019/06)
      Deep convolutional neural networks are used to perform underwater target classification in synthetic aperture sonar (SAS) imagery. The deep networks are learned using a massive database of real, measured sonar data collected ...

    • Wavelet analysis of side scan sonar imagery for classification 

      Impagliazzo, John; Greene, Walter; Huynh, Quyen (NATO. SACLANTCEN, 1997)
      Wavelet-based techniques are presented for compressing side scan sonar images communicated from UUV's through band limited communication channels. Testing with an automatrc classifier on reconstructed images demonstrates ...