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1

Tan, Shi Zhe, and Sheng Xu Wang. "Digital Holographic Imaging of Marine Plankton." Applied Mechanics and Materials 198-199 (September 2012): 314–19. http://dx.doi.org/10.4028/www.scientific.net/amm.198-199.314.

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Designing an advanced method to sensing marine plankton effectively is highly demanded for acquiring critical marine plankton information data. The goal of this paper is to use digital holographic imaging for sensing marine plankton in recording sampling volume with several advantages such as non-intrusive and non-destructive interrogation of the recording sampling volume. So, by capturing hologram of marine plankton and reconstructing hologram, the recorded optical field of marine plankton is retrieved.
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Zitterbart, Daniel P., Heather R. Smith, Michael Flau, et al. "Scaling the Laws of Thermal Imaging–Based Whale Detection." Journal of Atmospheric and Oceanic Technology 37, no. 5 (2020): 807–24. http://dx.doi.org/10.1175/jtech-d-19-0054.1.

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AbstractMarine mammals are under growing pressure as anthropogenic use of the ocean increases. Ship strikes of large whales and loud underwater sound sources including air guns for marine geophysical prospecting and naval midfrequency sonar are criticized for their possible negative effects on marine mammals. Competent authorities regularly require the implementation of mitigation measures, including vessel speed reductions or shutdown of acoustic sources if marine mammals are sighted in sensitive areas or in predefined exclusion zones around a vessel. To ensure successful mitigation, reliable
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Schoening, Timm, Jennifer Durden, Inken Preuss, et al. "Report on the Marine Imaging Workshop 2017." Research Ideas and Outcomes 3 (June 6, 2017): e13820. https://doi.org/10.3897/rio.3.e13820.

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Marine optical imaging has become a major assessment tool in science, policy and public understanding of our seas and oceans. Methodology in this field is developing rapidly, including hardware, software and the ways of their application. The aim of the Marine Imaging Workshop (MIW) is to bring together academics, research scientists and engineers, as well as industrial partners to discuss these developments, along with applications, challenges and future directions. The first MIW was held in Southampton, UK in April 2014. The second MIW, held in Kiel, Germany, in 2017 involved more than 100 a
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Schoening, Timm, Jennifer Durden, Inken Preuss, et al. "Report on the Marine Imaging Workshop 2017." Research Ideas and Outcomes 3 (June 6, 2017): e13820. http://dx.doi.org/10.3897/rio.3.e13820.

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Lindwall, Dennis A. "Imaging marine geological environments with vector acoustics." Journal of the Acoustical Society of America 119, no. 5 (2006): 3445. http://dx.doi.org/10.1121/1.4786956.

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Lindwall, Dennis, and D. Keith Wilson. "Imaging marine geophysical environments with vector acoustics." Journal of the Acoustical Society of America 120, no. 3 (2006): EL43—EL48. http://dx.doi.org/10.1121/1.2266023.

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Borremans, Catherine, Jennifer Durden, Timm Schoening, et al. "Report on the Marine Imaging Workshop 2022." Research Ideas and Outcomes 10 (March 18, 2024): e119782. https://doi.org/10.3897/rio.10.e119782.

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Imaging is increasingly used to capture information on the marine environment thanks to the improvements in imaging equipment, devices for carrying cameras and data storage in recent years. In that context, biologists, geologists, computer specialists and end-users must gather to discuss the methods and procedures for optimising the quality and quantity of data collected from images. The 4th Marine Imaging Workshop was organised from 3-6 October 2022 in Brest (France) in a hybrid mode. More than a hundred participants were welcomed in person and about 80 people attended the online sessions. Th
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Francisco, Francisco, Anke Bender, and Jan Sundberg. "Use of multibeam imaging sonar for observation of marine mammals and fish on a marine renewable energy site." PLOS ONE 17, no. 12 (2022): e0275978. http://dx.doi.org/10.1371/journal.pone.0275978.

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Environmental data is crucial for planning, permitting, execution and post construction monitoring of marine renewable energy projects. In harsh conditions in which marine renewable energy is harvested, integrated monitoring platforms comprising multibeam imaging sonar systems coupled with other sensors can provide multiparametric data of the marine environment surrounding marine renewable energy installations. The aim of this study was to test the possibilities of observing the occurrence of fish and marine mammals using a multibeam imaging sonar system deployed at a wave power test site. The
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Andreev, Alexander Y., Ilya A. Shikhov, and Sergey O. Zasukhin. "RCS measurements and radar imaging of marine objects." Transactions of the Krylov State Research Centre 4, no. 394 (2020): 143–46. http://dx.doi.org/10.24937/2542-2324-2020-4-394-143-146.

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Object and purpose of research. This paper discusses the results of experimental studies in radar imaging of marine objects, as well as the measurements of radar cross-section (RCS) and 2D radar portraits in natural conditions as per integrated synthetic aperture radar (ISAR) approach.
 Materials and methods. The measurements were carried out in full-scale conditions using an X-band instrumentation radar. RCS measurements were performed with radar pulse length exceeding the size of an object; the impulse with a length of about 1 m was used to obtain 2D portraits.
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10

Oliveira, REM, FLN Attademo, CEB Moura, et al. "Marine debris ingestion and the use of diagnostic imaging in sea turtles: A review." Veterinární Medicína 65, No. 12 (2020): 511–27. http://dx.doi.org/10.17221/50/2020-vetmed.

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Worldwide, sea turtles are affected by anthropic waste. Animals, unable to differentiate anthropic waste from food, ingest this waste from their surroundings. After ingestion, the waste may cause a digestive tract blockage, thereby compromising the feeding and digestion capacity of the turtles, causing malnutrition, which may lead to death. Radiological imaging can be performed in turtles under rehabilitation to identify alterations of the digestive tract, such as intussusceptions, impactions, obstructions, torsions, neoplasms, and foreign bodies. These alterations are a result of either the i
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Freitas, Sara, Hugo Silva, and Eduardo Silva. "Hyperspectral Imaging Zero-Shot Learning for Remote Marine Litter Detection and Classification." Remote Sensing 14, no. 21 (2022): 5516. http://dx.doi.org/10.3390/rs14215516.

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This paper addresses the development of a novel zero-shot learning method for remote marine litter hyperspectral imaging data classification. The work consisted of using an airborne acquired marine litter hyperspectral imaging dataset that contains data about different plastic targets and other materials and assessing the viability of detecting and classifying plastic materials without knowing their exact spectral response in an unsupervised manner. The classification of the marine litter samples was divided into known and unknown classes, i.e., classes that were hidden from the dataset during
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12

Lee, Haakil, Andrey Tikunov, Michael K. Stoskopf, and Jeffrey M. Macdonald. "Applications of Chemical Shift Imaging to Marine Sciences." Marine Drugs 8, no. 8 (2010): 2369–83. http://dx.doi.org/10.3390/md8082369.

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Potter, John R., Elizabeth Taylor, and Mandar Chitre. "Could marine mammals use ambient noise imaging techniques?" Journal of the Acoustical Society of America 102, no. 5 (1997): 3104. http://dx.doi.org/10.1121/1.420519.

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14

Aljohani, Mansour, Abdulmajid Mrebit, Lorenzo Lo Monte, and Michael C. Wicks. "Radar imaging using pseudo‐coherent marine radar technology." IET Radar, Sonar & Navigation 14, no. 6 (2020): 905–16. http://dx.doi.org/10.1049/iet-rsn.2019.0154.

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Freitas, Sara, Hugo Silva, and Eduardo Silva. "Remote Hyperspectral Imaging Acquisition and Characterization for Marine Litter Detection." Remote Sensing 13, no. 13 (2021): 2536. http://dx.doi.org/10.3390/rs13132536.

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This paper addresses the development of a remote hyperspectral imaging system for detection and characterization of marine litter concentrations in an oceanic environment. The work performed in this paper is the following: (i) an in-situ characterization was conducted in an outdoor laboratory environment with the hyperspectral imaging system to obtain the spatial and spectral response of a batch of marine litter samples; (ii) a real dataset hyperspectral image acquisition was performed using manned and unmanned aerial platforms, of artificial targets composed of the material analyzed in the la
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16

Kamiya, Genta, Nobuo Kitada, Tadaomi Furuta, Takashi Hirano, Shojiro A. Maki, and Sung-Bae Kim. "S-Series Coelenterazine-Driven Combinatorial Bioluminescence Imaging Systems for Mammalian Cells." International Journal of Molecular Sciences 24, no. 2 (2023): 1420. http://dx.doi.org/10.3390/ijms24021420.

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A unique combinatorial bioluminescence (BL) imaging system was developed for determining molecular events in mammalian cells with various colors and BL intensity patterns. This imaging system consists of one or multiple reporter luciferases and a series of novel coelenterazine (CTZ) analogues named “S-series”. For this study, ten kinds of novel S-series CTZ analogues were synthesized and characterized concerning the BL intensities, spectra, colors, and specificity of various marine luciferases. The characterization revealed that the S-series CTZ analogues luminesce with blue-to-orange-colored
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17

Guedes, Pedro Alves, Hugo Miguel Silva, Sen Wang, Alfredo Martins, José Almeida, and Eduardo Silva. "Acoustic Imaging Learning-Based Approaches for Marine Litter Detection and Classification." Journal of Marine Science and Engineering 12, no. 11 (2024): 1984. http://dx.doi.org/10.3390/jmse12111984.

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This paper introduces an advanced acoustic imaging system leveraging multibeam water column data at various frequencies to detect and classify marine litter. This study encompasses (i) the acquisition of test tank data for diverse types of marine litter at multiple acoustic frequencies; (ii) the creation of a comprehensive acoustic image dataset with meticulous labelling and formatting; (iii) the implementation of sophisticated classification algorithms, namely support vector machine (SVM) and convolutional neural network (CNN), alongside cutting-edge detection algorithms based on transfer lea
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18

Fejeran, Adella, Jesus Polanco, Gabriel Lander, Teddy Ajero, Bridget Carragher, and Clinton S. Potter. "TEM of Bacteriophages Found in Marine Sources." Microscopy Today 15, no. 6 (2007): 28–31. http://dx.doi.org/10.1017/s1551929500061939.

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AbstractWe describe here a project to illustrate the diversity and abundance of marine bacteriophages undertaken by two high school students participating in The Scripps Research Institute's High School Student Research Education Program. The students were interns in the Automated Molecular Imaging group over the summer of 2007, during which time they acquired high magnification transmission electron microscopy images of bacteriophage filtered from samples collected from nearby marine waters. The basic protocols for sample collection, grid preparation, and electron microscopy imaging are descr
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19

Fu, Qiang, Nan Liu, Hongrui Guo, et al. "Multi-Band Polarization Imaging in a Harsh Sea Fog Environment." Applied Sciences 13, no. 1 (2022): 202. http://dx.doi.org/10.3390/app13010202.

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Researchers in many nations are focusing more on the growth and usage of the marine field, and it is apparent that study on the marine field will be the future development trend. The present study adopts the idea of polarization imaging based on liquid crystal phase retarder as a solution to the drawbacks of conventional industrial camera imaging clarity. Various optical thicknesses are employed to characterize the sea fog concentration; an outside optical imaging equipment is constructed for sea fog imaging research; and pictures comprising polarization characteristics may be determined throu
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20

Duquet, Bertrand, and Patrick Lailly. "Efficient 3D wave-equation migration using virtual planar sources." GEOPHYSICS 71, no. 5 (2006): S185—S197. http://dx.doi.org/10.1190/1.2335628.

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Full-volume seismic imaging is essential for a sound interpretation of structurally complex geologies. Prestack depth imaging is the most appropriate tool for such imaging, but it requires a precise and often complex velocity model. In such situations, 3D Kirchhoff prestack depth migration can be quite expensive. On the other hand, a wavefield approach, although generally tremendously expensive, is not affected by the complexity of the velocity model. We propose an affordable 3-D wavefield prestack depth-migration technique. It is designed for marine surveys for which the source-receiver azimu
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21

Orji, Okwudili C., Walter Söllner, and Leiv-J. Gelius. "Effects of time-varying sea surface in marine seismic data." GEOPHYSICS 77, no. 3 (2012): P33—P43. http://dx.doi.org/10.1190/geo2011-0361.1.

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A method of imaging sea surfaces based on marine seismic measurements has recently been developed. The imaging technique is based on extrapolating decomposed wavefields obtained from dual-sensor streamers to the sea surface where an adequate imaging condition is applied. Earlier feasibility tests of the method involved only controlled data associated with frozen sea surfaces. Here, the issue of time-varying effects will be in focus. We introduced a modeling approach based on the Kirchhoff-Helmholtz integral and computed the scattered wavefield from time-varying rough sea surfaces (e.g., Pierso
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22

Arias, Fernando, Edward Guevara, Ezequiel Jaramillo, Edson Galagarza, and Maytee Zambrano. "Automated Assessment of Marine Steel Corrosion Using Visible–Near-Infrared Hyperspectral Imaging." Coatings 15, no. 6 (2025): 645. https://doi.org/10.3390/coatings15060645.

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Marine steel structures face severe corrosion risks due to harsh environmental conditions, posing significant logistical, economic, and safety challenges for inspection and maintenance. Traditional corrosion assessment methods are costly, labor-intensive, and potentially hazardous. This study evaluated the capabilities of visible-to-near-infrared hyperspectral imaging (HSI) for automating corrosion detection and severity classification in steel samples subjected to accelerated corrosion conditions simulating marine exposure. Marine steel coupons were partially coated to simulate protective pai
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23

Yang, Jing, Chao Li, Linus Shing Him Lo, et al. "Artificial Intelligence-Assisted Environmental DNA Metabarcoding and High-Resolution Underwater Optical Imaging for Noninvasive and Innovative Marine Environmental Monitoring." Journal of Marine Science and Engineering 12, no. 10 (2024): 1729. http://dx.doi.org/10.3390/jmse12101729.

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To effectively protect the marine environment, it is crucial to establish effective environ mental monitoring platforms. Traditional marine environmental monitoring methods heavily rely on morphological identification and field expertise, with the sampling process being disruptive and potentially destructive to vulnerable marine environments. In light of emerging biomonitoring needs and biodiversity declines, we reviewed the urgently needed, ongoing advances in developing effective, noninvasive, and innovative monitoring methods and systems to examine the complex marine environment for better
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24

Chan, Wing Yan, David Rudd, and Madeleine JH van Oppen. "Spatial metabolomics for symbiotic marine invertebrates." Life Science Alliance 6, no. 8 (2023): e202301900. http://dx.doi.org/10.26508/lsa.202301900.

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Microbial symbionts frequently localize within specific body structures or cell types of their multicellular hosts. This spatiotemporal niche is critical to host health, nutrient exchange, and fitness. Measuring host–microbe metabolite exchange has conventionally relied on tissue homogenates, eliminating dimensionality and dampening analytical sensitivity. We have developed a mass spectrometry imaging workflow for a soft- and hard-bodied cnidarian animal capable of revealing the host and symbiont metabolome in situ, without the need for a priori isotopic labelling or skeleton decalcification.
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25

Ratilal, Purnima, Duong Tran, Roger Gong, David Reed, Hari Chauhan, and Nicholas Makris. "Imaging and localizing fish and marine mammals with acoustics." Journal of the Acoustical Society of America 129, no. 4 (2011): 2369. http://dx.doi.org/10.1121/1.3587668.

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Muyzert, Everhard. "Design, modelling and imaging of marine seismic swarm surveys." Geophysical Prospecting 66, no. 8 (2018): 1535–47. http://dx.doi.org/10.1111/1365-2478.12671.

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Ødegård, Øyvind, Aksel Alstad Mogstad, Geir Johnsen, Asgeir J. Sørensen, and Martin Ludvigsen. "Underwater hyperspectral imaging: a new tool for marine archaeology." Applied Optics 57, no. 12 (2018): 3214. http://dx.doi.org/10.1364/ao.57.003214.

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28

OKUMURA, W., T. IWASAKI, T. TOYAMA, et al. "13.3 18F-FDG pet imaging in experimental marine myocarditis." Journal of Nuclear Cardiology 8, no. 1 (2001): S78. http://dx.doi.org/10.1016/s1071-3581(01)80718-2.

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Mittet, Rune, and Jan Petter Morten. "Detection and imaging sensitivity of the marine CSEM method." GEOPHYSICS 77, no. 6 (2012): E411—E425. http://dx.doi.org/10.1190/geo2012-0016.1.

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We have developed a formalism to systematically study the sensitivity of the marine controlled source electromagnetic method for hydrocarbon exploration, taking into account measurement errors. We utilize error propagation to estimate the data uncertainty, and find that contributions that scale by the transmitter dipole moment give qualitatively different behavior than noise contributions that are independent of the dipole moment. The uncertainty is used in quantitative criteria to determine if a hydrocarbon reservoir can be detected and whether it can be successfully imaged. Our formalism can
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30

Parsons, Miles J. G., Edmund Fenny, Klaus Lucke, et al. "Imaging Marine Fauna with a Tritech Gemini 720i Sonar." Acoustics Australia 45, no. 1 (2017): 41–49. http://dx.doi.org/10.1007/s40857-016-0076-1.

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31

Osipova, ZM, AS Shcheglov, and IV Yampolsky. "Bioluminescent imaging: new opportunities." Bulletin of Russian State Medical University, no. 5 (December 4, 2018): 87–90. http://dx.doi.org/10.24075/brsmu.2018.063.

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Modern biomedical research technologies actively use bioimaging for studying cells, tissues and whole organisms. Multicolor bioimaging is applied when simultaneous observation of different events at the molecular and cellular level is needed. Bioluminescent imaging methods are the most sensitive, however, their use for multicolor labeling is complicated due to the insufficient number of available uciferin-luciferase pairs. Having a number of advantages compared to previously studied bioluminescent systems, the new bioluminescence systems of higher fungi and marine polychaete Odontosyllis could
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32

Lindwall, Dennis. "3D underwater imaging using vector acoustic sensors." GEOPHYSICS 73, no. 1 (2008): Q1—Q7. http://dx.doi.org/10.1190/1.2813347.

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Marine surveys that use vector acoustic sensors may allow for 3D imaging of underwater environments with a much smaller amount of data than current 3D hydrophone surveys. Newly developed sensors make vector-acoustic-based surveys practical. This concept is demonstrated with data from a three-axis accelerometer and a collocated hydrophone in an acoustic water tank using a short-pulse source and passive scattering targets. One algorithm rectifies the vector data with scalar pressure data and another maps the vector data into a 3D volume, showing several slices of the volume images. The imaging a
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Habibi, Mehdi, Maryam Fanaei, and Giti Emtiazi. "Light-sensitive biosensors based on photoactive marine cultivated strains." Sensor Review 34, no. 3 (2014): 297–303. http://dx.doi.org/10.1108/sr-06-2013-693.

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Purpose – The purpose of this study is to construct imaging pixels using novel bioactive films. Despite the notable progress in electronic imaging devices, these sensors still cannot compete with biological vision counterparts such as the human eye. Light sensitive biolayers and pigments in living organisms show superior performance in terms of low noise operation and speed. Although photoactive biolayers have been used to construct electronic imaging devices, they are usually hard to develop, and the organisms that produce these active layers have low growth rates. Design/methodology/approach
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34

Dragoset, William H. "Marine vibrators and the Doppler effect." GEOPHYSICS 53, no. 11 (1988): 1388–98. http://dx.doi.org/10.1190/1.1442418.

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Marine seismic data acquired with a moving vibrator suffer phase dispersion caused by Doppler shifting of the source sweep function. The dispersion for a particular reflection event depends upon frequency, the type of sweep function, and the Doppler factor associated with that event. Synthetic vibrator data show that, at typical ship speeds, the Doppler factors for steeply dipping events are big enough to cause phase dispersion as large as several hundred degrees. If unaccounted for, such dispersive effects could make a moving marine vibrator unacceptable for imaging steep dips. In a constant‐
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35

Taylor, Gordon T. "Windows into Microbial Seascapes: Advances in Nanoscale Imaging and Application to Marine Sciences." Annual Review of Marine Science 11, no. 1 (2019): 465–90. http://dx.doi.org/10.1146/annurev-marine-121916-063612.

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Geochemical cycles of all nonconservative elements are mediated by microorganisms over nanometer spatial scales. The pelagic seascape is known to possess microstructure imposed by heterogeneous distributions of particles, polymeric gels, biologically important chemicals, and microbes. While indispensable, most traditional oceanographic observational approaches overlook this heterogeneity and ignore subtleties, such as activity hot spots, symbioses, niche partitioning, and intrapopulation phenotypic variations, that can provide a deeper mechanistic understanding of planktonic ecosystem function
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36

CHANDRAMOULY, B., D. MANN, R. P. CUNNINGHAM, and E. GIEGERICH. "Marine???Lenhart Syndrome." Clinical Nuclear Medicine 17, no. 11 (1992): 905–6. http://dx.doi.org/10.1097/00003072-199211000-00019.

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Wang, Liqian, Shuzhen Fan, Yunxia Liu, et al. "A Review of Methods for Ship Detection with Electro-Optical Images in Marine Environments." Journal of Marine Science and Engineering 9, no. 12 (2021): 1408. http://dx.doi.org/10.3390/jmse9121408.

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The ocean connects all continents and is an important space for human activities. Ship detection with electro-optical images has shown great potential due to the abundant imaging spectrum and, hence, strongly supports human activities in the ocean. A suitable imaging spectrum can obtain effective images in complex marine environments, which is the premise of ship detection. This paper provides an overview of ship detection methods with electro-optical images in marine environments. Ship detection methods with sea–sky backgrounds include traditional and deep learning methods. Traditional ship d
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38

Missiaen, Tine. "The potential of seismic imaging in marine archaeological site investigations." Relicta. Archeologie, Monumenten- en Landschapsonderzoek in Vlaanderen, no. 6 (June 2, 2010): 219–36. http://dx.doi.org/10.55465/eaie7018.

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Esquenazi, E., P. C. Dorrestein, and W. H. Gerwick. "Probing marine natural product defenses with DESI-imaging mass spectrometry." Proceedings of the National Academy of Sciences 106, no. 18 (2009): 7269–70. http://dx.doi.org/10.1073/pnas.0902840106.

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40

Lu, Tianan, Fei Huang, and Hongping Li. "Neural network based synthetic aperture ladar imaging through marine atmosphere." Optik 219 (October 2020): 164975. http://dx.doi.org/10.1016/j.ijleo.2020.164975.

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41

Tan, Shizhe, and Shengxu Wang. "An approach for sensing marine plankton using digital holographic imaging." Optik 124, no. 24 (2013): 6611–14. http://dx.doi.org/10.1016/j.ijleo.2013.05.025.

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42

Tu, Xiaolei, and Michael S. Zhdanov. "Robust Synthetic Aperture Imaging of Marine Controlled-Source Electromagnetic Data." IEEE Transactions on Geoscience and Remote Sensing 58, no. 8 (2020): 5527–39. http://dx.doi.org/10.1109/tgrs.2020.2966727.

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43

AINSWORTH, T. D., O. HOEGH-GULDBERG, and W. LEGGAT. "Imaging the fluorescence of marine invertebrates and their associated flora." Journal of Microscopy 232, no. 2 (2008): 197–99. http://dx.doi.org/10.1111/j.1365-2818.2008.02089.x.

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Attias, Eric, Donald Thomas, Dallas Sherman, Khaira Ismail, and Steven Constable. "Marine electrical imaging reveals novel freshwater transport mechanism in Hawai‘i." Science Advances 6, no. 48 (2020): eabd4866. http://dx.doi.org/10.1126/sciadv.abd4866.

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Conventional hydrogeologic framework models used to compute ocean island sustainable yields and aquifer storage neglect the complexity of the nearshore and offshore submarine environment. However, the onshore aquifer at the island of Hawai‘i exhibits a notable volumetric discrepancy between high-elevation freshwater recharge and coastal discharge. In this study, we present a novel transport mechanism of freshwater moving from onshore to offshore through a multilayer formation of water-saturated layered basalts with interbedded low-permeability layers of ash/soil. Marine electromagnetic imaging
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Granli, John R., Børge Arntsen, Anders Sollid, and Eilert Hilde. "Imaging through gas‐filled sediments using marine shear‐wave data." GEOPHYSICS 64, no. 3 (1999): 668–77. http://dx.doi.org/10.1190/1.1444576.

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Marine multicomponent sea‐floor data of excellent quality have been acquired over the Tommeliten Alpha field. The most dominating wave modes are interpreted to be conventional compressional PP-waves and converted PS-waves. The most important geophysical problem associated with the Tommeliten Alpha field is the presence of a gas chimney obscuring the conventional 3-D seismic image of the reservoir zone. The converted PS-waves effectively undershoot the gas chimney, leading to substantially improved images of the reservoir. Subsequent interpretation indicates the Tommeliten Alpha structure is a
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Boistel, Renaud, Jim Swoger, Uroš Kržič, Vincent Fernandez, Brigitte Gillet, and Emmanuel G. Reynaud. "The future of three-dimensional microscopic imaging in marine biology." Marine Ecology 32, no. 4 (2011): 438–52. http://dx.doi.org/10.1111/j.1439-0485.2011.00442.x.

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Felea, Raluca, Allan Greenleaf, and Malabika Pramanik. "An FIO calculus for marine seismic imaging, II: Sobolev estimates." Mathematische Annalen 352, no. 2 (2011): 293–337. http://dx.doi.org/10.1007/s00208-011-0644-5.

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Montes-Herrera, Juan C., Emiliano Cimoli, Vonda Cummings, Nicole Hill, Arko Lucieer, and Vanessa Lucieer. "Underwater Hyperspectral Imaging (UHI): A Review of Systems and Applications for Proximal Seafloor Ecosystem Studies." Remote Sensing 13, no. 17 (2021): 3451. http://dx.doi.org/10.3390/rs13173451.

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Marine ecosystem monitoring requires observations of its attributes at different spatial and temporal scales that traditional sampling methods (e.g., RGB imaging, sediment cores) struggle to efficiently provide. Proximal optical sensing methods can fill this observational gap by providing observations of, and tracking changes in, the functional features of marine ecosystems non-invasively. Underwater hyperspectral imaging (UHI) employed in proximity to the seafloor has shown a further potential to monitor pigmentation in benthic and sympagic phototrophic organisms at small spatial scales (mm–c
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YANG, XIANLIN, RUI NIAN, HONG LIN, CUI DUAN, JIANXIN SUI, and LIMIN CAO. "Detection of Anisakid Larvae in Cod Fillets by UV Fluorescent Imaging Based on Principal Component Analysis and Gray Value Analysis." Journal of Food Protection 76, no. 7 (2013): 1288–92. http://dx.doi.org/10.4315/0362-028x.jfp-12-471.

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Anisakid larvae are regarded as an important hazard in marine products, and demand is growing for on-line nondestructive analytical techniques for effective monitoring of these parasites. A UV fluorescent imaging was developed for detection of the third-stage anisakid larvae in marine fishes, and different processing methods were investigated and optimized based on principal component and gray value analyses. Using cod fillets as samples, the efficiency of the developed technique was evaluated, and the overall detection ratio was greater than 80%. These results indicate a promising application
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Fell, Dominic, Kiran Dyal, Tony Hallam, and Sebastian Nixon. "Imaging below seafloor canyons and other rugose features." APPEA Journal 57, no. 2 (2017): 728. http://dx.doi.org/10.1071/aj16062.

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Rugose seabed and near seafloor features in marine seismic datasets such as canyons, mass transport deposits and paleo-channels, present a major imaging challenge that can be overcome by a rigorous and careful approach in the earth model building process. To obtain an accurate image of the deeper target levels, a modelling and data driven update of the distinctive velocity characteristics of the overburden features are necessary. Without adequately addressing the complexity of the shallow velocity field, the final depth image of the target intervals can be poorly focussed and contaminated with
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