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12 October 2022 Ship detection in optical remote sensing images based on saliency and rotation-invariant feature
Donglai Wu, Bingxin Liu, Wan Zhang
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Proceedings Volume 12342, Fourteenth International Conference on Digital Image Processing (ICDIP 2022); 123420D (2022) https://doi.org/10.1117/12.2644322
Event: Fourteenth International Conference on Digital Image Processing (ICDIP 2022), 2022, Wuhan, China
Abstract
Ship detection is important to guarantee maritime safety at sea. In optical remote sensing images, the detection efficiency and accuracy are limited due to the complex ocean background and variant ship directions. Therefore, we propose a novel ship detection method, which consists of two main stages: candidate area location and target discrimination. In the first stage, we use the spectral residual method to detect the saliency map of the original image, get the saliency sub-map containing the ship target, and then use the threshold segmentation method to obtain the ship candidate region. In the second stage, we obtain the radial gradient histogram of the ship candidate region and transform it into a radial gradient feature, which is rotation-invariant. Afterward, radial gradient features and LBP features are fused, and SVM is used for ship detection. Data experimental results show that the method has the characteristics of low complexity and high detection accuracy.
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Donglai Wu, Bingxin Liu, and Wan Zhang "Ship detection in optical remote sensing images based on saliency and rotation-invariant feature", Proc. SPIE 12342, Fourteenth International Conference on Digital Image Processing (ICDIP 2022), 123420D (12 October 2022); https://doi.org/10.1117/12.2644322
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KEYWORDS
Target detection
Remote sensing
Image segmentation
Detection and tracking algorithms
Visualization
Data modeling
Fourier transforms
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