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
Link To Document :
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