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
[21]   Dual-band discrimination and imaging of plastic objects [J].
Hibbitts, Charles A. ;
Bekker, Dmitriy ;
Hanson, Troy ;
Knuth, Drew ;
Goldberg, Arnold ;
Ryan, Kyle ;
Cantillo, David ;
Daubon, Dru ;
Morgan, Frank .
DETECTION AND SENSING OF MINES, EXPLOSIVE OBJECTS, AND OBSCURED TARGETS XXIV, 2019, 11012
[22]   Organic micropollutants in marine plastics debris from the open ocean and remote and urban beaches [J].
Hirai, Hisashi ;
Takada, Hideshige ;
Ogata, Yuko ;
Yamashita, Rei ;
Mizukawa, Kaoruko ;
Saha, Mahua ;
Kwan, Charita ;
Moore, Charles ;
Gray, Holly ;
Laursen, Duane ;
Zettler, Erik R. ;
Farrington, John W. ;
Reddy, Christopher M. ;
Peacock, Emily E. ;
Ward, Marc W. .
MARINE POLLUTION BULLETIN, 2011, 62 (08) :1683-1692
[23]   AI for life: Trends in artificial intelligence for biotechnology [J].
Holzinger, Andreas ;
Keiblingera, Katharina ;
Holub, Petr ;
Zatloukal, Kurt ;
Mueller, Heimo .
NEW BIOTECHNOLOGY, 2023, 74 :16-24
[24]   Trends in artificial intelligence, machine learning, and chemometrics applied to chemical data [J].
Houhou, Rola ;
Bocklitz, Thomas .
ANALYTICAL SCIENCE ADVANCES, 2021, 2 (3-4) :128-141
[25]   SATELLITE REMOTE SENSING AND THE MARINE BIODIVERSITY OBSERVATION NETWORK CURRENT SCIENCE AND FUTURE STEPS [J].
Kavanaugh, Maria T. ;
Bell, Tom ;
Catlett, Dylan C. ;
Cimino, Megan A. ;
Doney, Scott C. ;
Klajbor, Willem ;
Messie, Monique ;
Montes, Enrique ;
Muller-Karger, Frank E. ;
Otis, Daniel ;
Santora, Jarrod A. ;
Schroeder, Isaac D. ;
Trinanes, Joaquin ;
Siegel, David A. .
OCEANOGRAPHY, 2021, 34 (02) :62-79
[26]   Towards automatic classification of diffuse reflectance image cubes from paintings collected with hyperspectral cameras [J].
Kleynhans, Tania ;
Messinger, David W. ;
Delaney, John K. .
MICROCHEMICAL JOURNAL, 2020, 157
[27]   Hyperspectral-reflectance dataset of dry, wet and submerged marine litter [J].
Knaeps, Els ;
Sterckx, Sindy ;
Strackx, Gert ;
Mijnendonckx, Johan ;
Moshtaghi, Mehrdad ;
Garaba, Shungudzemwoyo P. ;
Meire, Dieter .
EARTH SYSTEM SCIENCE DATA, 2021, 13 (02) :713-730
[28]   Pansharpening PRISMA Data for Marine Plastic Litter Detection Using Plastic Indexes [J].
Kremezi, Maria ;
Kristollari, Viktoria ;
Karathanassi, Vassilia ;
Topouzelis, Konstantinos ;
Kolokoussis, Pol ;
Taggio, Nicolo ;
Aiello, Antonello ;
Ceriola, Giulio ;
Barbone, Enrico ;
Corradi, Paolo .
IEEE ACCESS, 2021, 9 :61955-61971
[29]  
Kühn S, 2015, MARINE ANTHROPOGENIC LITTER, P75, DOI 10.1007/978-3-319-16510-3_4
[30]   Evidence that the Great Pacific Garbage Patch is rapidly accumulating plastic [J].
Lebreton, L. ;
Slat, B. ;
Ferrari, F. ;
Sainte-Rose, B. ;
Aitken, J. ;
Marthouse, R. ;
Hajbane, S. ;
Cunsolo, S. ;
Schwarz, A. ;
Levivier, A. ;
Noble, K. ;
Debeljak, P. ;
Maral, H. ;
Schoeneich-Argent, R. ;
Brambini, R. ;
Reisser, J. .
SCIENTIFIC REPORTS, 2018, 8