Instant plastic waste detection on shores using laser-induced fluorescence and associated hyperspectral imaging

被引:4
作者
Mahmoud, Alaaeldin [1 ]
El-Sharkawy, Yasser H. [1 ]
机构
[1] Mil Tech Coll, Optoelect & Automat Control Syst Dept, Cairo, Egypt
基金
英国科研创新办公室;
关键词
Plastic waste; Aquatic pollution; Ultraviolet light; Laser-induced fluorescence; Hyperspectral imaging; MARINE-ENVIRONMENT; MICROPLASTICS; REMOTE; DEBRIS; LITTER;
D O I
10.1007/s11082-024-06564-8
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Plastic pollution is a rising environmental issue, with millions of tons of plastic debris collecting in the world's seas and on its shores. Hyperspectral imaging (HSI) has become increasingly widely used as a more precise approach that can identify targets in remote sensing aquatic missions. The interference from other beach materials, and the need for proper identification of litter types can make identifying dumped plastics on sand-surrounded beaches challenging. This study lays the groundwork for a physical laboratory setting for images captured by a hyperspectral (HS) imager. The suggested testing setup included the development of a fluorescence signature for the target theater of operations (low-density polyethylene (LD-PE) and wood surrounded by sand) for detecting polymers in a simulated beach environment using the laser-induced fluorescence (LIF) approach. Initially using broadband-spectrum light, strong sample diffuse reflectance contrast is observed in the imaging at wavelengths between 400 and 460 nm. Next, a dedicated LIF system for plastic litter discovery was developed using an ultraviolet (UV) laser source. Initial findings show that there is a distinct fluorescence signal for plastics at 450 nm and at 750 nm for wood. Our pilot studies support current efforts to determine the optimum spectral signature that these polymers will appear with clarity on shorelines using an inexpensive imagery combined with our UV LIF approach, which may have an impact on applications for the detection of beach pollution. The knowledge gained from this study can be used to construct reliable aerial conventional cameras for plastic waste environmental monitoring and management.
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页数:20
相关论文
共 62 条
[1]   Raman spectroscopic and advanced signal processing analyses for real time standoff detection and identification of explosives [J].
Abdallah, Adel ;
Mahmoud, Alaaeldin ;
Mokhtar, Mohamed ;
Mousa, Aiman ;
Ayoub, H. S. ;
Elbashar, Y. H. .
OPTICAL AND QUANTUM ELECTRONICS, 2022, 54 (04)
[2]   Advances in infrared spectroscopy and hyperspectral imaging combined with artificial intelligence for the detection of cereals quality [J].
An, Dong ;
Zhang, Liu ;
Liu, Zhe ;
Liu, Jincun ;
Wei, Yaoguang .
CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION, 2023, 63 (29) :9766-9796
[3]   Emerging technology for intraoperative margin assessment and post-operative tissue diagnosis for breast-conserving surgery [J].
Aref, Mohamed Hisham ;
El-Gohary, Mohamed ;
Elrewainy, Ahmed ;
Mahmoud, Alaaeldin ;
Aboughaleb, Ibrahim H. ;
Hussein, Abdallah Abdelkader ;
Abd El-Ghaffar, Sara ;
Mahran, Ashraf ;
El-Sharkawy, Yasser H. .
PHOTODIAGNOSIS AND PHOTODYNAMIC THERAPY, 2023, 42
[4]   Instant testing and non-contact diagnosis for photovoltaic cells using K-means clustering and associated hyperspectral imaging [J].
Attia, Eslam Ali ;
Mahmoud, Alaaeldin ;
Fedawy, Mostafa ;
El-Sharkawy, Yasser H. .
SN APPLIED SCIENCES, 2023, 5 (08)
[5]   High-Resolution Aerial Detection of Marine Plastic Litter by Hyperspectral Sensing [J].
Balsi, Marco ;
Moroni, Monica ;
Chiarabini, Valter ;
Tanda, Giovanni .
REMOTE SENSING, 2021, 13 (08)
[6]  
Balsi M, 2018, 2018 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR THE SEA
[7]  
LEARNING TO MEASURE SEA HEALTH PARAMETERS (METROSEA), P28, DOI 10.1109/MetroSea.2018.8657875
[8]  
Barboza LGA, 2019, WORLD SEAS: AN ENVIRONMENTAL EVALUATION, VOL III: ECOLOGICAL ISSUES AND ENVIRONMENTAL IMPACTS, 2ND EDITION, P305, DOI 10.1016/B978-0-12-805052-1.00019-X
[9]   Predicted growth in plastic waste exceeds efforts to mitigate plastic pollution [J].
Borrelle, Stephanie B. ;
Ringma, Jeremy ;
Law, Kara Lavender ;
Monnahan, Cole C. ;
Lebreton, Laurent ;
McGivern, Alexis ;
Murphy, Erin ;
Jambeck, Jenna ;
Leonard, George H. ;
Hilleary, Michelle A. ;
Eriksen, Marcus ;
Possingham, Hugh P. ;
De Frond, Hannah ;
Gerber, Leah R. ;
Polidoro, Beth ;
Tahir, Akbar ;
Bernard, Miranda ;
Mallos, Nicholas ;
Barnes, Megan ;
Rochman, Chelsea M. .
SCIENCE, 2020, 369 (6510) :1515-+
[10]   Indoor spectroradiometric characterization of plastic litters commonly polluting the Mediterranean Sea: toward the application of multispectral imagery [J].
Corbari, L. ;
Maltese, A. ;
Capodici, F. ;
Mangano, M. C. ;
Sar, G. ;
Ciraolo, G. .
SCIENTIFIC REPORTS, 2020, 10 (01)