Autonomous Tracking and State Estimation with Generalised Group Lasso

Gao, Rui; Särkkä, Simo; Claveria-Vega, Rubén; Godsill, Simon

doi:10.48550/arxiv.2007.11573

Cited by 1 publication

(1 citation statement)

References 57 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, SAR images also provide useful information on ocean state, including wind speed and direction, gravity waves, swells, currents, sea-ice structures, and meteorological and environmental conditions in bodies of water. Thanks to its aforementioned capabilities, SAR imagery recognised as the gold standard and superior to the optical imagery where the literature abounds various applications which utilise SAR imagery as the main source of information, such as detecting/tracking oil spills [40,41,42,43,44,45], assessment of sea surface signatures [46,47,48,49], ship detection and tracking [50,51,52,53,54], and ice sheets tracking.…”

Section: Utilisation Of Sar Imagerymentioning

confidence: 99%

Can We "Sense" the Call of The Ocean? Current Advances in Remote Sensing Computational Imaging for Marine Debris Monitoring

Karakuş¹

2022

Preprint

View full text Add to dashboard Cite

Especially due to the unconscious use of petroleum products, the ocean faces a potential danger: plastic pollution. Plastic pollutes not only the ocean but also directly the air and foods whilst endangering the ocean wild-life due to the ingestion and entanglements. Especially, during the last decade, public initiatives and academic institutions have spent an enormous time on finding possible solutions to marine plastic pollution. Remote sensing imagery sits in a crucial place for these efforts since it provides highly informative earth observation products. Despite this, detection, and monitoring of the marine environment in the context of plastic pollution is still in its early stages and the current technology offers possible important development for the computational efforts. This paper contributes to the literature with a thorough and rich review and aims to highlight notable literature milestones in marine debris monitoring applications by promoting the computational imaging methodology behind these approaches.

show abstract

Section: Utilisation Of Sar Imagerymentioning

confidence: 99%

Can We "Sense" the Call of The Ocean? Current Advances in Remote Sensing Computational Imaging for Marine Debris Monitoring

Karakuş¹

2022

Preprint

View full text Add to dashboard Cite

show abstract

Autonomous Tracking and State Estimation with Generalised Group Lasso

Cited by 1 publication

References 57 publications

Can We "Sense" the Call of The Ocean? Current Advances in Remote Sensing Computational Imaging for Marine Debris Monitoring

Can We "Sense" the Call of The Ocean? Current Advances in Remote Sensing Computational Imaging for Marine Debris Monitoring

Contact Info

Product

Resources

About