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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

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

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

Combining multi-spectral satellite data and machine learning has been suggested as a method for monitoring plastic pollutants in the ocean environment. Recent studies have made theoretical progress regarding the identification of marine…

Image and Video Processing · Electrical Eng. & Systems 2023-05-03 Henry Booth , Wanli Ma , Oktay Karakus

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

This work proposes SAMSelect, an algorithm to obtain a salient three-channel visualization for multispectral images. We develop SAMSelect and show its use for marine scientists visually interpreting floating marine debris in Sentinel-2…

Computer Vision and Pattern Recognition · Computer Science 2025-06-11 Joost van Dalen , Yuki M. Asano , Marc Russwurm

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

Plastic waste is a significant environmental pollutant that is difficult to monitor. We created a system of neural networks to analyze spectral, spatial, and temporal components of Sentinel-2 satellite data to identify terrestrial…

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

Marine plastic pollution is a pressing environmental threat, making reliable automation for underwater debris detection essential. However, vision systems trained on one dataset often degrade on new imagery due to domain shift. This study…

Computer Vision and Pattern Recognition · Computer Science 2025-10-07 Saanvi Kataria

The widespread use of Exogenous Organic Matter in agriculture necessitates monitoring to assess its effects on soil and crop health. This study evaluates optical Sentinel-2 satellite imagery for detecting digestate application, a practice…

Computer Vision and Pattern Recognition · Computer Science 2025-12-01 Andreas Kalogeras , Dimitrios Bormpoudakis , Iason Tsardanidis , Dimitra A. Loka , Charalampos Kontoes

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

Marine debris poses significant harm to marine life due to substances like microplastics, polychlorinated biphenyls, and pesticides, which damage habitats and poison organisms. Human-based solutions, such as diving, are increasingly…

Computer Vision and Pattern Recognition · Computer Science 2025-01-29 Abi Aryaza , Novanto Yudistira , Tibyani

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

Marine debris poses a significant ecological threat to birds, fish, and other animal life. Traditional methods for assessing debris accumulation involve labor-intensive and costly manual surveys. This study introduces a framework that…

Computer Vision and Pattern Recognition · Computer Science 2024-07-23 Raymond Wang , Nicholas R. Record , D. Whitney King , Tahiya Chowdhury

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 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

Monitoring water contaminants is of paramount importance, ensuring public health and environmental well-being. Turbidity, a key parameter, poses a significant problem, affecting water quality. Its accurate assessment is crucial for…

Computer Vision and Pattern Recognition · Computer Science 2024-01-09 Francesca Razzano , Francesco Mauro , Pietro Di Stasio , Gabriele Meoni , Marco Esposito , Gilda Schirinzi , Silvia Liberata Ullo

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

Microplastics, defined as plastic particles smaller than 5 millimeters, have become a pervasive environmental contaminant that accumulates on beaches due to wind patterns and tidal forcing. Detecting microplastics and mapping their…

Robotics · Computer Science 2025-08-06 Hassan Iqbal , Kobiny Rex , Joseph Shirley , Carlos Baiz , Christian Claudel
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