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Adverse weather conditions such as rain and haze often lead to a degradation in the quality of maritime images, which is crucial for activities like navigation, fishing, and search and rescue. Therefore, it is of great interest to develop an effective algorithm to recover high-quality maritime images under adverse weather conditions. This paper proposes a prompt-based learning method with degradation perception for maritime image restoration, which contains two key components: a restoration module and a prompting module. The former is employed for image restoration, whereas the latter encodes weather-related degradation-specific information to modulate the restoration module, enhancing the recovery process for improved results. Inspired by the recent trend of prompt learning in artificial intelligence, this paper adopts soft-prompt technology to generate learnable visual prompt parameters for better perceiving the degradation-conditioned cues. Extensive experimental results on several benchmarks show that our approach achieves superior restoration performance in maritime image dehazing and deraining tasks.

Efficient and rapid deployment of maritime search and rescue(MSAR) resources is a prerequisite for maritime emergency search and rescue, in order to improve the efficiency and accuracy of MSAR. This paper proposes an integrated approach for emergency resource allocation. The approach encompasses three main steps: identifying accident black spots, assessing high-risk areas, and optimizing the outcomes through a synergistic combination of an optimization algorithm and reinforcement learning. In the initial step, the paper introduces the iterative self-organizing data analysis technology (ISODATA) for identifying accident spots at sea. A comparative analysis is conducted with other clustering algorithms, highlighting the superiority of ISODATA in effectively conducting dense clustering. This can effectively carry out dense clustering, instead of the situation where the data spots are too dispersed or obvious anomalies that affect the clustering. Furthermore, this approach incorporates entropy weighting to reassess the significance of accident spots by considering both the distance and the frequency of accidents. This integrated approach enhances the allocation of search and rescue forces, ensuring more efficient resource utilization. To address the MSAR vessel scheduling problem at sea, the paper employs the non-dominated sorting genetic algorithm II combined with reinforcement learning (NSGAII-RL). Comparative evaluations against other optimization algorithms reveal that the proposed approach can save a minimum of 7% in search and rescue time, leading to enhanced stability and improved efficiency in large-scale MSAR operations. Overall, the integrated approach presented in this paper offers a robust solution to the ship scheduling problem in maritime search and rescue operations. Its effectiveness is demonstrated through improved resource allocation, enhanced timeliness, and higher efficiency in responding to maritime accidents.

- A UK-first collaboration is set to use satellites to monitor coastal changes in a bid to create safer shipping navigation channels. - The project will see Peel Ports, the UK's second largest port operator, partner with the National Oceanography Centre (NOC) and Channel Coastal Observatory (CCO) to employ satellite surveillance and assess where maintenance is needed over a six-month period. - Funded by UK Space Agency Small Business Research (SBRI), we will use our patented coastal mapping technology to support Peel Ports in building targeted dredging operations across the Mersey and Medway estuaries. - Offering greater insight into changes to the marine environments around two of the UK's most important waterways, Peel Ports will use the data to ensure safer access to the Port of Liverpool and Port of Medway for arriving ships.

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Harbouring a world-class industry.

Migrant: Many ships failed to aid Libyan refugees.

Transports : la Commission européenne va présenter un nouveau paquet de mesures pour les ports en 2013.

Transport: European Commission to bring forward new package of measures for ports in 2013.

EU to Include Seafarers in Its Legislation.

EU to Include Seafarers in Its Legislation.

Number Of Indian Seafarers Grows 45%.

Les importations de Chine repartent et passent au port du Havre.

Port of LA: Tariffs Threaten Millions of U.S. Jobs.