Ship Detection in SAR Images Based on Multilevel Superpixel Segmentation and Fuzzy Fusion

Superpixel can maintain the boundary of the target and reduce the influence of speckle noise, which has been widely applied to synthetic aperture radar (SAR) image target detection. But the size of the superpixel has a great impact on the performance of superpixel-based SAR target detection algorith...

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Bibliographic Details
Published in:IEEE transactions on geoscience and remote sensing 2023, Vol.61, p.1-15
Main Authors: Sun, Qian, Liu, Ming, Chen, Shichao, Lu, Fugang, Xing, Mengdao
Format: Article
Language:English
Subjects:
Adaptability
Algorithms
Detection
Feature extraction
Fuzzy fusion
Image processing
Image segmentation
Marine vehicles
multilevel superpixel segmentation
Object detection
Optical sensors
Radar detection
Radar imaging
Radar polarimetry
SAR (radar)
ship detection
Synthetic aperture radar
synthetic aperture radar (SAR) images
Target detection
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Summary:Superpixel can maintain the boundary of the target and reduce the influence of speckle noise, which has been widely applied to synthetic aperture radar (SAR) image target detection. But the size of the superpixel has a great impact on the performance of superpixel-based SAR target detection algorithms. To solve this problem, we propose a multilevel ship target detection algorithm based on superpixel segmentation. First, the SAR images are segmented in different levels with different superpixel sizes. Different descriptions of the SAR images are obtained in different levels. Second, we determine the feature of the superpixels in each level. And to enhance the adaptability of the proposed algorithm, we propose an adaptive distance calculation method to select the contrast superpixels in each level. Third, the soft detection results are realized in each level using the fuzzy C -means (FCM) algorithm. Finally, the soft detection results obtained in different levels are fused by a new fusion strategy to achieve the final ship target detection result. The influences caused by different superxiel sizes can be effectively eased by fusion. Experiments in different SAR images have verified the effectiveness of the proposed algorithm in accurately detecting ship targets and insensitivity to the superpixel size.
ISSN:0196-2892
1558-0644
DOI:10.1109/TGRS.2023.3266373