Abstract Ship detection is an important issue in many aspects, vessel traffic services, fishery management and rescue. Synthetic aperture radar (SAR) can produce real high resolution images with relatively small aperture in sea surfaces. A novel method employing extreme learning machine is proposed to detect ship in SAR. After the image preprocessing, some features including HOG features, geometrical features and texture features are selected as features for ship detection. The experimental results demonstrate that the proposed ship detection method based on extreme learning machine is more efficient than other learning-based methods.
Extreme Learning Machine Based Ship Detection Using Synthetic Aperture Radar
17.10.2018
11 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Ship Detection Using RADARSAT-1 Synthetic Aperture Radar: Validation with VTS
British Library Conference Proceedings | 2007
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