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We present a method to estimate two-dimensional, time-invariant oceanic flow fields based on data from both ensemble forecasts and online measurements. Our method produces a realistic estimate in a computationally efficient manner suitable…

Robotics · Computer Science 2021-03-24 K. Y. Cadmus To , Felix H. Kong , Ki Myung Brian Lee , Chanyeol Yoo , Stuart Anstee , Robert Fitch

The detection and prevention of illegal fishing is critical to maintaining a healthy and functional ecosystem. Recent research on ship detection in satellite imagery has focused exclusively on performance improvements, disregarding…

Computer Vision and Pattern Recognition · Computer Science 2022-12-13 Arthur Van Meerbeeck , Jordy Van Landeghem , Ruben Cartuyvels , Marie-Francine Moens

This paper is about the design of an automated machine to cut turbot fish specimens. Machine vision is a key part of this project as it is used to compute a cutting curve for the specimen head. This task is impossible to be carried out by…

Image and Video Processing · Electrical Eng. & Systems 2022-12-21 Fernando Martin-Rodriguez , Fernando Isasi-de-Vicente , Monica Fernandez-Barciela

An accurate sea clutter distribution is crucial for decision region determination when detecting sea-surface floating targets. However, traditional parametric models possibly have a considerable gap to the realistic distribution of sea…

Applications · Statistics 2018-09-10 Hongkuan Zhou , Yuzhou Li , Tao Jiang

Marine debris originating from human activity has been accumulating in underwater environments such as oceans, lakes, and rivers for decades. The extent, type, and amount of waste is hard to assess as the exact mechanisms for spread are not…

The problem of segregating recyclable waste is fairly daunting for many countries. This article presents an approach for image based classification of plastic waste using one-shot learning techniques. The proposed approach exploits…

Computer Vision and Pattern Recognition · Computer Science 2020-09-30 Shivaank Agarwal , Ravindra Gudi , Paresh Saxena

Real-time characterization of refractivity within the marine atmospheric boundary layer can provide valuable information that can potentially be used to mitigate the effects of atmospheric ducting on radar performance. Many duct…

Atmospheric and Oceanic Physics · Physics 2021-10-04 Hilarie Sit , Christopher J. Earls

Wave breaking is an important process for energy dissipation in the open ocean and coastal seas. It drives beach morphodynamics, controls air-sea interactions, determines when ship and offshore structure operations can occur safely, and…

Atmospheric and Oceanic Physics · Physics 2021-01-28 Caio Eadi Stringari , Pedro Veras Guimarães , Jean-François Filipot , Fabien Leckler , Rui Duarte

Garbage and waste disposal is one of the biggest challenges currently faced by mankind. Proper waste disposal and recycling is a must in any sustainable community, and in many coastal areas there is significant water pollution in the form…

Computer Vision and Pattern Recognition · Computer Science 2019-05-15 Matias Valdenegro-Toro

Given the size of modern cities in the urbanising age, it is beyond the perceptual capacity of most people to develop a good knowledge about the beauty and ugliness of the city at every street corner. Correspondingly, for planners, it is…

Computer Vision and Pattern Recognition · Computer Science 2016-08-12 Lun Liu , Hui Wang , Chunyang Wu

Depth information plays a crucial role in autonomous systems for environmental perception and robot state estimation. With the rapid development of deep neural network technology, depth estimation has been extensively studied and shown…

Robotics · Computer Science 2024-11-11 Quang Truong Nguyen , Thanh Nguyen Canh , Xiem HoangVan

Scientists interested in studying natural phenomena often take physical specimens from locations in the environment for later analysis. These analysis locations are typically specified by expert heuristics. Instead, we propose to choose…

Marine debris detection for ocean robot is crucial for ecological protection, yet performance is often degraded by low-quality images with blur, complex backgrounds, and small targets. To address these challenges, we propose YOLO-MD, an…

Computer Vision and Pattern Recognition · Computer Science 2026-05-11 Yuyang Li , Jiashu Han , Yinyi Lai , Wenbin Kang , Zenghui Liu

Researchers typically resort to numerical methods to understand and predict ocean dynamics, a key task in mastering environmental phenomena. Such methods may not be suitable in scenarios where the topographic map is complex, knowledge about…

State-of-the-art methods for quantifying wear in cylinder liners of large internal combustion engines require disassembly and cutting of the liner. This is followed by laboratory-based high-resolution microscopic surface depth measurement…

This paper introduces a new benchmarking dataset for marine snow removal of underwater images. Marine snow is one of the main degradation sources of underwater images that are caused by small particles, e.g., organic matter and sand,…

Computer Vision and Pattern Recognition · Computer Science 2024-01-17 Reina Kaneko , Yuya Sato , Takumi Ueda , Hiroshi Higashi , Yuichi Tanaka

The target of this paper is to recommend a way for Automated classification of Fish species. A high accuracy fish classification is required for greater understanding of fish behavior in Ichthyology and by marine biologists. Maintaining a…

Computer Vision and Pattern Recognition · Computer Science 2018-05-28 Dhruv Rathi , Sushant Jain , Dr. S. Indu

Unmanned Aerial Vehicles (UAVs) are of crucial importance in search and rescue missions in maritime environments due to their flexible and fast operation capabilities. Modern computer vision algorithms are of great interest in aiding such…

Computer Vision and Pattern Recognition · Computer Science 2021-10-20 Leon Amadeus Varga , Benjamin Kiefer , Martin Messmer , Andreas Zell

The proliferation of floating anthropogenic debris in rivers has emerged as a pressing environmental concern, exerting a detrimental influence on biodiversity, water quality, and human activities such as navigation and recreation. The…

Computer Vision and Pattern Recognition · Computer Science 2025-10-29 Gauthier Grimmer , Romain Wenger , Clément Flint , Germain Forestier , Gilles Rixhon , Valentin Chardon

The mapping of ocean floor layers is a current challenge for the oil industry. Existing solution methods involve mapping through seismic methods and wave inversion, which are complex and computationally expensive. The introduction of…

Machine Learning · Computer Science 2024-12-10 Guilherme G. D. Fernandes , Vitor S. P. P. Oliveira , João P. I. Astolfo