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A vision-based maritime object detection approach with real-time dynamic correction algorithm
DOI:10.1016/j.oceaneng.2026.124943.png)
Abstract
En 中文
• A vision-based maritime object detection method with real-time dynamic correction is developed. • The camera pose fusion correction and image denoising and enhancement algorithm are incorporated to obtained better images. • The multi-modal image data fusion detection approach is developed to achieve high accuracy and recall rate. • Detection results demonstrate the superiority of the model in real-time dynamic maritime detection tasks.
Keywords:
vision-based detection
maritime object detection
real-time dynamic correction
image denoising
multi-modal fusion
Journal
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5.5
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5.8K
Citations:
7.6W

