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8 June 2024 Unveiling hidden marine debris: unsupervised enhancement of SAR images using multilevel enhancement (EME)
Thaweesak Trongtirakul, Sos S. Agaian, Khalifa Djemal, Amir Ali Feiz, Sheli Chaudhuri
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Proceedings Volume 13033, Multimodal Image Exploitation and Learning 2024; 130330C (2024) https://doi.org/10.1117/12.3023215
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States
Abstract
Marine debris is a growing threat to our oceans, impacting both wildlife and human activities. Monitoring debris, especially after natural disasters, is crucial but challenging. While Synthetic Aperture Radar (SAR) offers all-weather imaging, its effectiveness is hampered by noise and low contrast. This study proposes a new method for unsupervised SAR image enhancement using Enhanced Multilevel Enhancement (EME). EME improves image quality, allowing for more accurate debris detection compared to existing methods. This approach provides valuable insights into debris distribution across various landscapes, aiding in better understanding and managing this environmental issue.
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(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Thaweesak Trongtirakul, Sos S. Agaian, Khalifa Djemal, Amir Ali Feiz, and Sheli Chaudhuri "Unveiling hidden marine debris: unsupervised enhancement of SAR images using multilevel enhancement (EME)", Proc. SPIE 13033, Multimodal Image Exploitation and Learning 2024, 130330C (8 June 2024); https://doi.org/10.1117/12.3023215
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KEYWORDS
Ocean optics
Synthetic aperture radar
Image enhancement
Image quality
Environmental monitoring
Image contrast enhancement
Natural disasters
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