2022年5月31日 · For many years, oil spills have posed a huge and inescapable threat to the seas and oceans. Hence, it is noted that oil spills caused by the purposeful or unint.

This study provides an in-depth analysis of the oil spill detection process using remote sensing satellites and the YOLO model. It discusses the workflow, technical considerations, and challenges associated with applying the YOLO algorithm to identify oil spills.

With more than 250 oil spill detection (OSD™) systems delivered to oil companies, ship owners and coastal agencies globally, Miros has established itself as a trusted provider of real-time systems for oil spill detection, also supporting response and surveillance operations.

Review and analysis of different sources of remotely sensed data and various components of ML classification systems for oil spill detection and monitoring are presented in this study.

Detect and contain oil leaks and spills with the Slick Sleuth oil spill monitoring system from InterOcean. Mitigate risk, reduce costs associated with potential spills, and protect the environment.

2024年5月1日 · Oil spill detection is an important task for protecting and minimizing the harmful effects of oil on the marine ecosystem. Currently, the application of images from unmanned aerial vehicles, along with deep learning, is widely employed.

2024年9月1日 · While there are numerous methods developed for oil spill detection, we broadly categorize them into three types: visual interpretation, feature extraction, and machine learning/neural networks.

2024年6月1日 · YOLO-v5 and YOLO-v8 provide more accurate information about the object's position and size in oil spill detection, with YOLO-v8 achieving a single-image detection time of 8.2 ms, outperforming other marine oil spill detection algorithms and demonstrating stronger competitiveness.

The Oil Spill Detection AI project leverages a convolutional neural network (CNN) model to detect oil spills in images. By automating this detection process, the system enables real-time monitoring and helps accelerate response times to protect marine ecosystems from oil pollution.

2024年10月30日 · Currently, there’s a scarcity of datasets employing RGB images for oil spill detection in maritime settings. This paper presents a unique, annotated dataset aimed at addressing this gap,...

2020年11月25日 · We present a novel framework for detecting oil spills inside a port environment, while using unmanned areal vehicles (UAV) and a thermal infrared (IR) camera. This framework is split into a training part and an operational part.

2024年8月21日 · Detecting oil spills in marine environments is crucial for avoiding environmental damage and facilitating rapid response efforts. In this study, we propose a robust method for oil spill detection leveraging state-of-the-art (SOTA) deep learning techniques.

Oil spill detection and segmentation using SAR pictures are critical for leak cleaning and environmental protection. Based on a highly unbalanced dataset, this research introduces a two-stage deep-learning architecture for identifying oil spill events.

2023年7月25日 · Capturing high-resolution images or videos of the oil spill from an aerial perspective can be analyzed using computer vision models to enable accurate measurements of the spill. The acquired information helps experts determine the most suitable and efficient cleaning method for the specific spill.

2021年11月8日 · To solve this problem, using Sentinel-1 dual-polarimetric images as the data source, this article presents an intelligent oil spill detection architecture based on a deep convolutional neural network (DCNN), in which both the amplitude information and phase information are utilized.

2 天之前 · Additionally, oil spills impose financial and reputational damage on companies through fines and legal liabilities Moussaoui and Idelhakkar (2023). Timely detection is critical to mitigate these effects and prevent further damage.

1 天前 · Advances in nanotechnology may provide solutions to oil spill cleanups in coastal regions that are more effective, safer and work much faster than current methods, according to a new paper. The ...

2022年12月1日 · In this paper, we bring a systematic risk-based perspective of oil spills, jointly describing why they are harmful, how to prevent them, how to detect them, the possible mitigating actions, and how to remediate affected areas.

Oil spills represent a major environmental threat, particularly in marine ecosystems. Timely detection and segmentation of oil spills from satellite imagery is.

1 天前 · Cleaning up after a major oil spill is a long, expensive process, and the damage to a coastal region's ecosystem can be significant. This is especially true for the world's Arctic region, where ...

The Resource Conservation and Recovery Act (RCRA) and Oil Pollution Prevention Act (OPPA) (40 CFR 112) are the primary regulations governing petroleum, oil, and lubricant (POL) storage tanks and spills management. These regulations protect the environment and the nation's navigable waters and natural resources from the potential hazards of a leakage from …

The Orange County oil spill on October 1, 2021, is an oil spill that deposited crude oil onto popular Southern California beaches on the West Coast of the United States. While residents reported smelling fumes, a ship noticed an oil slick that evening and reported it to federal authorities. When oil from an underwater pipeline in the waters of coastal Orange County began washing ashore ...

Oil spills, caused by accidents or by ships cleaning their tanks, represent big threats for maritime and coastal ecosystems health. A very effective detection o.

2025年1月24日 · Oil spill-sniffing dogs provide a proven new tool that can overcome “many of the drawbacks of previous technology-driven solutions” and results that often provided “uncertain answers,” he said.

This paper presents a novel approach for detecting oil spills, employing two distinct methods. The first method involves utilizing an Oil Spill Index (OSI) that.

1 天前 · YEAC, through its Crude Oil Spill Alert System (COSAS), in a statement in Port Harcourt, the Rivers State capital, signed by its Executive Director, Fyneface Dumnamene Fyneface, called on the National Oil Spill Detection and Response Agency (NOSDRA) to carry out a joint investigation visit (JIV) on the spill site, invoke sections of the ...

Experimental results show that SD-OIL surpasses numerous existing segmentation-based oil spill detection methods, achieving an mIoU of 91.69%. The results also indicate that the S3G module significantly improves the accuracy of oil spill detection.

This paper presents a comprehensive evaluation of YOLOv7 and YOLOv8 (You Only Look Once) models for oil tank detection, utilizing a novel dataset comprising 12,948 images and 171,809 annotations. The dataset, which is the largest and most diverse in the domain, combines publicly available resources with high-resolution captures from Google Earth, significantly enhancing …