English
Related papers

Related papers: High-precision Density Mapping of Marine Debris an…

200 papers

Detecting and quantifying marine pollution and macro-plastics is an increasingly pressing ecological issue that directly impacts ecology and human health. Efforts to quantify marine pollution are often conducted with sparse and expensive…

Computer Vision and Pattern Recognition · Computer Science 2023-07-06 Marc Rußwurm , Sushen Jilla Venkatesa , Devis Tuia

The quantification of positively buoyant marine plastic debris is critical to understanding how plastic litter accumulates across the world's oceans and is also crucial to identifying hotspots for targeted cleanup efforts. Currently, the…

Computer Vision and Pattern Recognition · Computer Science 2021-10-22 Gautam Tata , Sarah-Jeanne Royer , Olivier Poirion , Jay Lowe

Marine plastic pollution is an emerging environmental problem since it pollutes the ocean, air and food whilst endangering the ocean wildlife via the ingestion and entanglements. During the last decade, an enormous effort has been spent on…

Image and Video Processing · Electrical Eng. & Systems 2023-11-15 Oktay Karakuş

Plastic pollution is a critical environmental issue, and detecting and monitoring plastic litter is crucial to mitigate its impact. This paper presents the methodology of mapping street-level litter, focusing primarily on plastic waste and…

Computer Vision and Pattern Recognition · Computer Science 2024-01-29 Sriram Reddy Mandhati , N. Lakmal Deshapriya , Chatura Lavanga Mendis , Kavinda Gunasekara , Frank Yrle , Angsana Chaksan , Sujit Sanjeev

The increasing level of marine plastic pollution poses severe threats to the marine ecosystem and biodiversity. The present study attempted to explore the full functionality of open Sentinel satellite data and ML models for detecting and…

Computer Vision and Pattern Recognition · Computer Science 2021-06-09 Srikanta Sannigrahi , Bidroha Basu , Arunima Sarkar Basu , Francesco Pilla

Typically, the detection of marine debris relies on in-situ campaigns that are characterized by huge human effort and limited spatial coverage. Following the need of a rapid solution for the detection of floating plastic, methods based on…

Computer Vision and Pattern Recognition · Computer Science 2024-08-20 Muhammad Alì , Francesca Razzano , Sergio Vitale , Giampaolo Ferraioli , Vito Pascazio , Gilda Schirinzi , Silvia Ullo

Marine litter poses significant threats to marine and coastal environments, with its impacts ever-growing. Remote sensing provides an advantageous supplement to traditional mitigation techniques, such as local cleaning operations and trawl…

Computer Vision and Pattern Recognition · Computer Science 2023-06-28 Bianca Matos de Barros , Douglas Galimberti Barbosa , Cristiano Lima Hackmann

Plastic waste entering the riverine harms local ecosystems leading to negative ecological and economic impacts. Large parcels of plastic waste are transported from inland to oceans leading to a global scale problem of floating debris…

Computer Vision and Pattern Recognition · Computer Science 2023-07-25 Nathaniel Hanson , Ahmet Demirkaya , Deniz Erdoğmuş , Aron Stubbins , Taşkın Padır , Tales Imbiriba

The detection and classification of microplastics in water remain a significant challenge due to their diverse properties and the limitations of traditional optical methods. Standard spectroscopic techniques often suffer from the strong…

Computer Vision and Pattern Recognition · Computer Science 2026-03-25 Leonard Saur , Marc von Pawlowski , Ulrich Gengenbach , Ingo Sieber , Hossein Shirali , Lorenz Wührl , Xiangyu Weng , Rainer Kiko , Christian Pylatiuk

With the development of coastal construction, a large amount of human-generated waste, particularly plastic debris, is continuously entering the ocean, posing a severe threat to marine ecosystems. The key to effectively addressing plastic…

Computer Vision and Pattern Recognition · Computer Science 2024-12-31 Xiaoteng Zhou , Katsunori Mizuno

Accurate quantification of the physical exposure area of beach litter, rather than simple item counts, is essential for credible ecological risk assessment of marine debris. However, automated UAV-based monitoring predominantly relies on…

Computer Vision and Pattern Recognition · Computer Science 2026-04-24 Yongying Liu , Jiaqi Wang , Jian Song , Xinlei Shao , Yijia Chen , Nan Xu , Katsunori Mizuno , Shigeru Tabeta , Fan Zhao

Microplastics (MPs) are ubiquitous pollutants with demonstrated potential to impact ecosystems and human health. Their microscopic size complicates detection, classification, and removal, especially in biological and environmental samples.…

Computer Vision and Pattern Recognition · Computer Science 2025-10-22 Paul-Tiberiu Miclea , Martin Sboron , Hardik Vaghasiya , Hoang Thinh Nguyen , Meet Gadara , Thomas Schmid

Plastic pollution presents an escalating global issue, impacting health and environmental systems, with micro- and nanoplastics found across mediums from potable water to air. Traditional methods for studying these contaminants are…

Computer Vision and Pattern Recognition · Computer Science 2024-09-23 Hadi Rezvani , Navid Zarrabi , Ishaan Mehta , Christopher Kolios , Hussein Ali Jaafar , Cheng-Hao Kao , Sajad Saeedi , Nariman Yousefi

This communication describes a preliminary research on detection of big masses of plastic (marine litter) on the oceans and seas using EO (Earth Observation) satellite systems. Free images from the Sentinel 2 (Copernicus Project) platform…

Image and Video Processing · Electrical Eng. & Systems 2021-03-18 Fernando Martin-Rodriguez

The increasing prevalence of marine pollution during the past few decades motivated recent research to help ease the situation. Typical water quality assessment requires continuous monitoring of water and sediments at remote locations with…

Machine Learning · Computer Science 2022-03-08 Xiaoting Xu , Tin Lai , Sayka Jahan , Farnaz Farid

Accurately quantifying and removing submerged underwater waste plays a crucial role in safeguarding marine life and preserving the environment. While detecting floating and surface debris is relatively straightforward, quantifying submerged…

Computer Vision and Pattern Recognition · Computer Science 2023-09-28 Jaskaran Singh Walia , Karthik Seemakurthy

Plastic waste in aquatic environments poses severe risks to marine life and human health. Autonomous robots can be utilized to collect floating waste, but they require accurate object identification capability. While deep learning has been…

Computer Vision and Pattern Recognition · Computer Science 2024-09-20 Luis Felipe Wolf Batista , Salim Khazem , Mehran Adibi , Seth Hutchinson , Cedric Pradalier

With the global issue of plastic debris ever expanding, it is about time that the technology industry stepped in. This study aims to assess whether deep learning can successfully distinguish between marine life and man-made debris…

Machine Learning · Computer Science 2022-12-14 Zoe Moorton , Zeyneb Kurt , Wai Lok Woo

Plastic pollution in the aquatic environment has been assessed for many years by ocean waste collection expeditions around the globe or by river sampling. While the total amount of plastic produced worldwide is well documented, the amount…

Soft Condensed Matter · Physics 2024-01-17 Matthieu George , Frédéric Nallet , Pascale Fabre

Mobile mapping, in particular, Mobile Lidar Scanning (MLS) is increasingly widespread to monitor and map urban scenes at city scale with unprecedented resolution and accuracy. The resulting point cloud sampling of the scene geometry can be…

Computer Vision and Pattern Recognition · Computer Science 2023-03-14 Teng Wu , Bruno Vallet , Cédric Demonceaux
‹ Prev 1 2 3 10 Next ›