DocumentCode :
714493
Title :
Detecting inshore ships in satellite images
Author :
Ozcan, Abdullah H. ; Unsalan, Cem
Author_Institution :
TUBITAK BILGEM, Gebze, Turkey
fYear :
2015
fDate :
16-19 May 2015
Firstpage :
1220
Lastpage :
1223
Abstract :
Ship detection in satellite images is used for monitoring illegal fishing and violation of coastal waters or general maritime management. SAR images has been extensively used in this manner. Recently, researchers have started using optical satellite images for ship detection. These studies can be divided into two categories as inshore and offshore ship detection. Offshore ship detection is a relatively easy problem. But, inshore ship detection is a challenging problem in which ships are located closely. In this study, we handle this problem and propose a novel method assuming we have the harbor information beforehand. In the method, the mask is morphologically thickened in single steps and adjacent ships are detected with a contour following method. Moreover, a shape model for the ships is used to eliminate false alarms. We tested the proposed method on high resolution satellite images and achieved promising results.
Keywords :
artificial satellites; image resolution; object detection; ships; synthetic aperture radar; SAR image; coastal water violation; contour following method; general maritime management; harbor information; high resolution satellite image; illegal fishing monitoring; inshore ship detection; offshore ship detection; optical satellite image; shape model; Marine vehicles; Optical imaging; Optical sensors; Reactive power; Satellites; Shape; Synthetic aperture radar; Ship detection; contour following; ellipse fitting; satellite images;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
Type :
conf
DOI :
10.1109/SIU.2015.7130057
Filename :
7130057
Link To Document :
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