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Open access Aug 2026

YOLOv13-Based Two-Stage Framework for Underwater Damage Detection on Reinforced Concrete Surfaces

Prolonged underwater exposure degrades reinforced concrete (RC) structures, causing chloride-induced corrosion, spalling, cracking, and rebar exposure. Timely damage identification is critical for structural safety, but conventional non-destructive testing methods face severe limitations underwater due to restricted ac...

Xin-Wei Wang, Muhammad Moman Shahzad, Xijun Ye et al. · 0 citations
Aug 2026

Automated damage detection and assessment for underwater bridge structures using multi-scale image fusion enhancement and deep learning

This framework effectively addresses the limitations of existing underwater damage detection methods and enables automated safety assessment for underwater bridge structures and demonstrates the effectiveness of the proposed framework.

Yang Deng, Xueqi Cao, Jialiang Guo et al. · 0 citations
Review Aug 2026

Recent Advances in Underwater Image Restoration and Enhancement

The objective of this paper is to conduct an organized overview of the literature on underwater image processing, present a comprehensive taxonomy, and provide a critical evaluation of image restoration and enhancement techniques. This study classified underwater image processing methods into physical-modelb...

Shan-Tong Zhang, Mingshan Chi, Qiang Zhang et al. · 0 citations
Conference Sep 2026

Research on underwater image optimization and super-resolution methods based on multiscale feature fusion

Underwater images are generally blue-green in colour, have low contrast, are affected by scattering blur, and lack detail at a low resolution. To address the above degradation problems in a unified manner, this paper proposes a multi-scale feature fusion method for underwater image optimisation and super-resolution. Th...

Jun Chen, Xiao-He Xie · 0 citations
Aug 2026

Asphalt pavement crack localisation based on depth camera and image-processing algorithms

Under heavy traffic loads, pavement cracks have become a major factor affecting asphalt pavement performance, while conventional rehabilitation remains time-consuming and labour-intensive. Intelligent maintenance equipment offers an effective way to improve repair efficiency. Although deep learning methods have been wi...

Yuchi Lei, Liuzhen Ren, Jiangzhuo Ren et al. · 1 citation

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