Ship Wake Detection in a Single SAR Image via a Modified Low-Rank Constraint

Ship Wake Detection in a Single SAR Image via a Modified Low-Rank Constraint

Blog Article

Ship wake detection stands as a pivotal task in marine environment monitoring.The main challenge in ship wake detection is to improve detection accuracy and mitigate false alarms.To address this challenge, a NO FLUSH NIACIN 500MG novel procedure for ship wake detection in a single SAR image is proposed in this study.

Initially, an entropy distance similarity criterion is designed to measure nonlocal image patch similarity.Based on the proposed criterion, a low-rank and sparse decomposition method is modified using nonlocal similar patch matrix construction to separate the sparse wake.Subsequently, a field-of-experts (FOE) model is introduced to generate a series of multi-view wake feature maps, which are fused to construct an enhanced feature map.

The sparse wake is further enhanced in HOTPOINT DSC60SS 60 cm Electric Ceramic Cooker – Graphite the Radon domain with the enhanced feature map.The experimental results demonstrate the effectiveness of the proposed method on real SAR ship wake images.