• DocumentCode
    2026580
  • Title

    An ANN based hyperspectral waterway control and security system

  • Author

    Priego, Blanca ; Souto, Daniel ; Peña, Fernando Lopez ; Duro, Richard J.

  • Author_Institution
    Integrated Group for Eng. Res., Univ. of A Coruna, Ferrol, Spain
  • fYear
    2011
  • fDate
    19-21 Sept. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper we report on some of the current advances in the development of Hywacoss (Hyperspectral waterway control and security system). The objective of the Hywacoss project is to produce a real time small, light and easy to transport visible and near infrared hyperspectral detection and recognition system that autonomously monitors waterways, especially port and bay areas, and detects and classifies all the traffic, producing alerts when previously unknown objects or behavior patterns arise. Obviously, Hywacoss involves dedicated hardware and software modules, some of them based on computational intelligence methods. Here we will provide a global description of the system and a detailed analysis of some of its modules, in particular those related to hyperspectral image segmentation and the Artificial Neural Network based spectral-geometrical identification and profiling subsystems.
  • Keywords
    computerised monitoring; image recognition; image segmentation; lakes; marine safety; neural nets; rivers; sea ports; ANN based hyperspectral waterway control and security system; Hywacoss project; artificial neural network; computational intelligence methods; hyperspectral image segmentation; near infrared hyperspectral detection; profiling subsystem; recognition system; spectral geometrical identification subsystem; visible hyperspectral detection; Artificial neural networks; Hyperspectral imaging; Image segmentation; Marine vehicles; Object recognition; Training; Artificial Neural Networks; Hyperspectral image processing; Waterway control and security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Measurement Systems and Applications (CIMSA), 2011 IEEE International Conference on
  • Conference_Location
    Ottawa, ON, Canada
  • ISSN
    2159-1547
  • Print_ISBN
    978-1-61284-924-9
  • Type

    conf

  • DOI
    10.1109/CIMSA.2011.6059925
  • Filename
    6059925