• DocumentCode
    3530789
  • Title

    Ship detection and recognitionin high-resolution satellite images

  • Author

    Antelo, J. ; Ambrosio, G. ; González, J. ; Galindo, C.

  • Volume
    4
  • fYear
    2009
  • fDate
    12-17 July 2009
  • Abstract
    Nowadays, the availability of high-resolution images taken from satellites, like Quickbird, Orbview, and others, offers the remote sensing community the possibility of monitoring and surveying vast areas of the Earth for different purposes, e.g. monitoring forest regions for ecological reasons. A particular application is the use of satellite images to survey the bottom of the seas around the Iberian peninsula which is flooded with innumerable treasures that are being plundered by specialized ships. In this paper we present a GIS-based application aimed to catalog areas of the sea with archeological interest and to monitor the risk of plundering of ships that stay within such areas during a suspicious period of time.
  • Keywords
    geographic information systems; geophysical image processing; image recognition; oceanographic techniques; remote sensing; GIS-based application; Orbview satellite images; Quickbird satellite images; VYAMSAT application; ecological monitoring; forest region monitoring; high-resolution satellite image recognition; sea bottom survey; ship detection; ship identification; Application software; Earth; Feature extraction; Gold; Image recognition; Image segmentation; Marine vehicles; Radar detection; Remote monitoring; Satellites; Ship identification; high-resolution satellite images;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-4244-3394-0
  • Electronic_ISBN
    978-1-4244-3395-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2009.5417426
  • Filename
    5417426