From Space to Sea: Leveraging Satellite Technology for Monitoring Marine Debris

Year : 2025 | Volume : 14 | Issue : 01 | Page : 1 9
    By

    K. Anupriya,

  • Dhivyaa S.,

  • Hemalatha M.,

  • Mahaa Poorani S.,

  1. Assistant Professor, Department of Artificial Intelligence and Machine Learning, Manakula Vinayagar Institute of Technology, Kalitheerthalkuppam, Puducherry, India.
  2. Student, Department of Artificial Intelligence and Machine Learning, Manakula Vinayagar Institute of Technology, Kalitheerthalkuppam, Puducherry, India.
  3. Student, Department of Artificial Intelligence and Machine Learning, Manakula Vinayagar Institute of Technology, Kalitheerthalkuppam, Puducherry, India.
  4. Student, Department of Artificial Intelligence and Machine Learning, Manakula Vinayagar Institute of Technology, Kalitheerthalkuppam, Puducherry, India.

Abstract

Marine trash endangers ecosystems, so efficient detection is critical. This article describes a novel strategy for improving detection accuracy by integrating YOLOv7 instance segmentation with attention processes. Three models are evaluated: lightweight coordinate attention, the convolutional block attention module (CBAM) for spatial-channel focus, and the bottle neck transformer, which relies on self-attention. On an annotated satellite image dataset, CBAM has the greatest F1 scores in box recognition (77%) and mask evaluation (73%), outperforming coordinate attention and YOLOv7, which score about 71% and 68% to 69%, respectively. Although the bottle neck transformer has lower overall accuracy, it excels at detecting larger trash that human annotators miss, indicating its promise for applications that require great precision for large particles. These findings highlight the necessity of adopting models that are tailored to specific environmental monitoring objectives. Broken bottles, plastic toys, food wrappers during a walk along the coast one finds any of these items, and more. In all that litter, there is one item more common than any other: cigarette butts. Cigarette butts are a pervasive, long-lasting, and a toxic form of marine debris. The Marine Debris Act requires the program to “identify, determine sources of, assess, prevent, reduce, and remove marine debris and address the adverse impacts of marine debris on the economy of the United States, marine environment, and navigation safety”.

Keywords: Marine debris, YOLO (you look only once) technology, coordinate, spatial and channel attention, convolutional block attention module (CBAM)

[This article belongs to Research & Reviews : Journal of Space Science & Technology ]

How to cite this article:
K. Anupriya, Dhivyaa S., Hemalatha M., Mahaa Poorani S.. From Space to Sea: Leveraging Satellite Technology for Monitoring Marine Debris. Research & Reviews : Journal of Space Science & Technology. 2025; 14(01):1-9.
How to cite this URL:
K. Anupriya, Dhivyaa S., Hemalatha M., Mahaa Poorani S.. From Space to Sea: Leveraging Satellite Technology for Monitoring Marine Debris. Research & Reviews : Journal of Space Science & Technology. 2025; 14(01):1-9. Available from: https://journals.stmjournals.com/rrjosst/article=2025/view=194759


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Regular Issue Subscription Review Article
Volume 14
Issue 01
Received 10/01/2025
Accepted 17/01/2025
Published 25/01/2025
Publication Time 15 Days
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