[HTML][HTML] Deep learning for detecting macroplastic litter in water bodies: A review
Plastic pollution in water bodies is an unresolved environmental issue that damages all
aquatic environments, and causes economic and health problems. Accurate detection of …
aquatic environments, and causes economic and health problems. Accurate detection of …
Using artificial intelligence to support marine macrolitter research: a content analysis and an online database
DV Politikos, A Adamopoulou, G Petasis… - Ocean & Coastal …, 2023 - Elsevier
Marine scientists use a variety of collection and monitoring methods to survey macrolitter in
aquatic environments, aiming to assess the level of pollution and design mitigation actions …
aquatic environments, aiming to assess the level of pollution and design mitigation actions …
Sentinel-2 detection of floating marine litter targets with partial spectral unmixing and spectral comparison with other floating materials (plastic litter project 2021)
Large-area, artificial floating marine litter (FML) targets were deployed during a controlled
field experiment and data acquisition campaign: the Plastic Litter Project 2021. A set of 22 …
field experiment and data acquisition campaign: the Plastic Litter Project 2021. A set of 22 …
Large-scale detection of marine debris in coastal areas with Sentinel-2
Detecting and quantifying marine pollution and macroplastics is an increasingly pressing
ecological issue that directly impacts ecology and human health. Here, remote sensing can …
ecological issue that directly impacts ecology and human health. Here, remote sensing can …
Taking artificial intelligence into space through objective selection of hyperspectral earth observation applications: To bring the “brain” close to the “eyes” of satellite …
AM Wijata, MF Foulon, Y Bobichon… - … and Remote Sensing …, 2023 - ieeexplore.ieee.org
Recent advances in remote sensing hyperspectral imaging and artificial intelligence (AI)
bring exciting opportunities to various fields of science and industry that can directly benefit …
bring exciting opportunities to various fields of science and industry that can directly benefit …
Meta-learning to address diverse Earth observation problems across resolutions
Earth scientists study a variety of problems with remote sensing data, but they most often
consider them in isolation from each other, which limits information flows across disciplines …
consider them in isolation from each other, which limits information flows across disciplines …
Marine plastic pollution detection and identification by using remote sensing-meta analysis
The persistent plastic litter, originating from different sources and transported from rivers to
oceans, has posed serious biological, ecological, and chemical effects on the marine …
oceans, has posed serious biological, ecological, and chemical effects on the marine …
[HTML][HTML] Riverine litter monitoring from multispectral fine pixel satellite images
SP Garaba, YJ Park - Environmental Advances, 2024 - Elsevier
Mismanaged litter or debris in aquatic systems can pose threats to water quality and blue
economic activities. Monitoring strategies like remote sensing can complement and support …
economic activities. Monitoring strategies like remote sensing can complement and support …
On advances, challenges and potentials of remote sensing image analysis in marine debris and suspected plastics monitoring
O Karakuş - Frontiers in Remote Sensing, 2023 - frontiersin.org
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 …
air and food whilst endangering the ocean wildlife via the ingestion and entanglements …
Optical detection of marine debris using deep knockoff
This article investigates the use of deep knockoff, a modern statistical variable selection
methodology, to uncover the spectral signatures of marine debris (MD). This method uses a …
methodology, to uncover the spectral signatures of marine debris (MD). This method uses a …