Abstract
There have been intensive research interests in ship
detection and segmentation due to high demands on a wide range
of civil applications in the last two decades. However, existing
approaches, which are mainly based on statistical properties of
images, fail to detect smaller ships and boats. Specifically, known
techniques are not robust enough in view of inevitable small
geometric and photometric changes in images consisting of ships.
In this paper a novel approach for ship detection is proposed
based on correlation of maritime images. The idea comes from
the observation that a fine pattern of the sea surface changes
considerably from time to time whereas the ship appearance
basically keeps unchanged. We want to examine whether the
images have a common unaltered part, a ship in this case. To this
end, we developed a method - Focused Correlation (FC) to achieve
robustness to geometric distortions of the image content. Various
experiments have been conducted to evaluate the effectiveness of
the proposed approach.
Original language | English |
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Title of host publication | 2013 IEEE International Conference on Systems, Man, and Cybernetics |
Subtitle of host publication | SMC 2013 |
Place of Publication | Piscataway |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 3119-3126 |
ISBN (Print) | 9781479906529 |
DOIs | |
Publication status | Published - 2013 |