Now showing items 171-190 of 882

    • Automated port traffic statistics: from raw data to visualization 

      Cazzanti, Luca; Davoli, Antonio; Millefiori, Leonardo (CMRE, 2017/11)
      We describe how we leveraged best practices in big data processing pipeline design and visual analytics to prototype the Maritime Patterns-of-Life Information Service (MPoLIS), an information product currently under ...
    • Automatic change detection for the monitoring of cluttered underwater areas 

      Coiras, Enrique; Groen, Johannes; Evans, Benjamin; Pinto, Marc A. (NURC, 2008/09)
      Automating the surveillance of cluttered underwater areas (such as ports) poses several problems, the main one being the high number of contacts that any automatic target recognition (ATR) system will produce when surveying ...
    • Automatic picture transmission receivers for weather satellite images: a brief introduction and survey of some commercially-available equipment 

      Minnett, Peter J. (NATO. SACLANTCEN, 1986/06)
      The Automatic Picture Transmission (APT) signal is broadcast from several polar-orbiting weather
    • Automatic target classification using multiple sidescan sonar images of different orientations 

      Zerr, Benoit; Stage, Bjarne; Guerrero, Ana (NATO. SACLANTCEN, 1997/09)
      In this report, the target classification performance of a multiple view sidescan sonar is investigated. The classification statistics are estimated using model based automatic classifiers. The guidelines to the design of ...
    • 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 ...
    • Autonomous underwater surveillance networks: a task allocation framework to manage cooperation 

      Ferri, Gabriele; Bates, Jeffrey; Stinco, Pietro; Tesei, Alessandra; LePage, Kevin D. (2019/05)
      The design of efficient task allocation schemes is essential to manage autonomous underwater robotic surveillance networks. The network has to assign the most suited robots to the tasks which compose the mission, in spite ...
    • An autonomous underwater vehicle data-driven control strategy for target tracking 

      Ferri, Gabriele; Munafò, Andrea; LePage, Kevin D. (CMRE, 2019/05)
      This paper presents a data-driven approach to control the movement of autonomous underwater vehicles (AUVs) operating as receivers of a multistatic sonar surveillance network. The algorithm adopts a nonmyopic receding ...
    • Autonomous underwater vehicles for port protection 

      Bovio, Edoardo (NURC, 2006/07)
      NATO's present capability to deal with a terrorist threat to our ports is slow, dangerous, and inefficient. Ports are a challenging area within which to conduct MCM operations due to several factors: shipping movements, ...
    • AUV active perception: exploiting the water column 

      Munafò, Andrea; Ferri, Gabriele; LePage, Kevin D.; Goldhahn, Ryan A. (CMRE, 2019/06)
      Autonomous Underwater Vehicles (AUVs) present a low-cost alternative or supplement to existing underwater surveillance networks. The NATO STO Centre for Maritime Research and Experimentation is developing collaborative ...
    • AUV technology for shallow water MCM reconnaissance 

      Evans, Benjamin; Baralli, Francesco; Bellettini, Andrea; Bovio, Edoardo; Coiras, Enrique; Davies, Gary L.; Groen, Johannes; Myers, Vincent; Pinto, Marc A. (NURC, 2007/10)
      The ability to perform MCM reconnaissance missions in shallow water is important in both expeditionary MCM and in the protection of ports against maritime improvised explosive devices (MIEDs). For many years AUV systems ...
    • AUV-enabled adaptive underwater surveying for optimal data collection 

      Williams, David P. (NURC, 2012/04)
      A new adaptive strategy for performing data collection with a sonar-equipped autonomous underwater vehicle (AUV) is proposed. The approach is general in the sense that it is applicable to a wide range of underwater tasks ...
    • Bandwidth efficient concurrent localisation and communication in underwater acoustic networks 

      Sliwka, Jan; Munafò, Andrea; Petroccia, Roberto (CMRE, 2019/05)
      Localisation is essential for an Autonomous Underwater Vehicle (AUV) to perform its mission and to georeference any data acquired during the dive. When the AUV is part of a heterogeneous underwater acoustic network (UAN), ...
    • Bathymetric imaging with wideband interferometric synthetic aperture sonar 

      Pinto, Marc A.; Hollett, Reginald D.; Bellettini, Andrea (NATO. SACLANTCEN, 2001/11)
      A new approach to interferometric sonar is presented, based on time delay estimation using shortterm correlation of the seafloor backscatter. It is most suited to signals with large relative bandwidths and long interferometric ...
    • Bathymetry, gravity and magnetism in the Strait of Sicily 

      Morelli, Carlo (NATO. SACLANTCEN, 1972/09)
      In cooperation with SACLANTCEN, O.G.S. started in 1961 the geophysical survey of the Mediterranean Sea (Allan, Morelli, 1971 ), which after 1966 was continued in the seas around Italy on the oceanographic ships of C.N.R. ...
    • Bayesian inference and sidescan restoration 

      Calder, B. R.; Linnett, L. M. (NATO. SACLANTCEN, 1997)
      We consider a Bayesian approach to the problem of inferring parameters of the SONAR environment given only the gathered sidescan image. A simplified model of the process is developed along with suitable distributions on ...
    • Bayesian multi-class covariance matrix filtering for adaptive environment learning 

      Braca, Paolo; Aubry, Augusto; Millefiori, Leonardo; De Maio, Antonio; Marano, Stefano (CMRE, 2019/05)
      Covariance matrix estimation is a crucial task in adaptive signal processing applied to several surveillance systems, including radar and sonar. In this paper we propose a dynamic environment learning strategy to track ...
    • Bayesian track-to-graph association for maritime traffic monitoring 

      Grasso, Raffaele; Millefiori, Leonardo; Braca, Paolo (CMRE, 2019/05)
      We present a hypothesis test to associate ship track measurements to an edge of a given graph that statistically models common traffic routes in a given area of interest. The association algorithm is based on the hypothesis ...
    • Beam spreading and loss of spatial coherence in an inhomogeneous and fluctuating ocean 

      McCoy, John J. (NATO. SACLANTCEN, 1975/10)
      A theory has been developed that enables estimates to be made of beam bending, beam spreading and loss of spatial coherence. In this paper we concentrate on the loss of spatial coherence due to scattering. Using a minus ...
    • Belief propagation based AIS/radar data fusion for multi-target tracking 

      Gaglione, Domenico; Braca, Paolo; Soldi, Giovanni (CMRE, 2019/05)
      A data fusion technique aiming at combining observations from two classes of sensors is proposed. The first class consists of sensors that produce periodic noisy observations of the targets; moreover, they may also miss ...
    • Benchmark analysis of NURC multistatic tracking capability 

      Gerard, Odile; Coraluppi, Stefano; Carthel, Craig; Grimmett, Douglas (NURC, 2006/08)
      This paper provides a brief description and performance results for the multistatic sonar trackers developed at NURC. Our analysis is based on common data distributed as part of the Multistatic Tracking Working Group ...