Monitoring of Plankton Spatial and Temporal Characteristics With the Use of a Submersible Digital Holographic Camera
This study shows that the use of a submersible digital holographic camera as part of a multifunctional hardware and software complex allows carrying out in situ measurements of plankton, automating the process of obtaining data on plankton, as well as classifying plankton species up to an order with...
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doaj-7a56c38489fd4bee9a76eb94c86c1f972020-11-25T03:57:35ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452020-08-01710.3389/fmars.2020.00653528210Monitoring of Plankton Spatial and Temporal Characteristics With the Use of a Submersible Digital Holographic CameraVictor Dyomin0Alexandra Davydova1Alexandra Davydova2Sergey Morgalev3Nikolay Kirillov4Alexey Olshukov5Alexey Olshukov6Igor Polovtsev7Sergey Davydov8Laboratory of Radiophysical and Optical Methods of Environmental Studies, National Research Tomsk State University, Tomsk, RussiaLaboratory of Radiophysical and Optical Methods of Environmental Studies, National Research Tomsk State University, Tomsk, RussiaEnvironmental Remote Sensing Laboratory, V.E. Zuev Institute of Atmospheric Optics of the Siberian Branch of the Russian Academy of Sciences, Tomsk, RussiaLaboratory of Radiophysical and Optical Methods of Environmental Studies, National Research Tomsk State University, Tomsk, RussiaLaboratory of Radiophysical and Optical Methods of Environmental Studies, National Research Tomsk State University, Tomsk, RussiaLaboratory of Radiophysical and Optical Methods of Environmental Studies, National Research Tomsk State University, Tomsk, RussiaEnvironmental Remote Sensing Laboratory, V.E. Zuev Institute of Atmospheric Optics of the Siberian Branch of the Russian Academy of Sciences, Tomsk, RussiaLaboratory of Radiophysical and Optical Methods of Environmental Studies, National Research Tomsk State University, Tomsk, RussiaLaboratory of Radiophysical and Optical Methods of Environmental Studies, National Research Tomsk State University, Tomsk, RussiaThis study shows that the use of a submersible digital holographic camera as part of a multifunctional hardware and software complex allows carrying out in situ measurements of plankton, automating the process of obtaining data on plankton, as well as classifying plankton species up to an order within the specified taxonomic groups. Such automation ensures monitoring expeditionary or stationary research of species diversity and spatial and temporal organization of zooplankton in conjunction with the hydrophysical parameters of the medium. This paper presents the full-scale results of vertical profiles and daily measurements of plankton made with the use of the submersible digital holographic camera as well as the classification of plankton in laboratory and field conditions in the automatic mode. It is shown that, within the accomplished version, the classification algorithm using the morphological parameter makes it possible to solve the problem quickly (the time required to obtain the result is less than 1 s and depends on the number of plankton particles and the frame size of a restored image); however, the classification accuracy by orders varies within 50–60%.https://www.frontiersin.org/article/10.3389/fmars.2020.00653/fullplanktonbiodiversitydigital holographyspatial characteristicstemporal characteristicssubmersible camera |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Victor Dyomin Alexandra Davydova Alexandra Davydova Sergey Morgalev Nikolay Kirillov Alexey Olshukov Alexey Olshukov Igor Polovtsev Sergey Davydov |
spellingShingle |
Victor Dyomin Alexandra Davydova Alexandra Davydova Sergey Morgalev Nikolay Kirillov Alexey Olshukov Alexey Olshukov Igor Polovtsev Sergey Davydov Monitoring of Plankton Spatial and Temporal Characteristics With the Use of a Submersible Digital Holographic Camera Frontiers in Marine Science plankton biodiversity digital holography spatial characteristics temporal characteristics submersible camera |
author_facet |
Victor Dyomin Alexandra Davydova Alexandra Davydova Sergey Morgalev Nikolay Kirillov Alexey Olshukov Alexey Olshukov Igor Polovtsev Sergey Davydov |
author_sort |
Victor Dyomin |
title |
Monitoring of Plankton Spatial and Temporal Characteristics With the Use of a Submersible Digital Holographic Camera |
title_short |
Monitoring of Plankton Spatial and Temporal Characteristics With the Use of a Submersible Digital Holographic Camera |
title_full |
Monitoring of Plankton Spatial and Temporal Characteristics With the Use of a Submersible Digital Holographic Camera |
title_fullStr |
Monitoring of Plankton Spatial and Temporal Characteristics With the Use of a Submersible Digital Holographic Camera |
title_full_unstemmed |
Monitoring of Plankton Spatial and Temporal Characteristics With the Use of a Submersible Digital Holographic Camera |
title_sort |
monitoring of plankton spatial and temporal characteristics with the use of a submersible digital holographic camera |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Marine Science |
issn |
2296-7745 |
publishDate |
2020-08-01 |
description |
This study shows that the use of a submersible digital holographic camera as part of a multifunctional hardware and software complex allows carrying out in situ measurements of plankton, automating the process of obtaining data on plankton, as well as classifying plankton species up to an order within the specified taxonomic groups. Such automation ensures monitoring expeditionary or stationary research of species diversity and spatial and temporal organization of zooplankton in conjunction with the hydrophysical parameters of the medium. This paper presents the full-scale results of vertical profiles and daily measurements of plankton made with the use of the submersible digital holographic camera as well as the classification of plankton in laboratory and field conditions in the automatic mode. It is shown that, within the accomplished version, the classification algorithm using the morphological parameter makes it possible to solve the problem quickly (the time required to obtain the result is less than 1 s and depends on the number of plankton particles and the frame size of a restored image); however, the classification accuracy by orders varies within 50–60%. |
topic |
plankton biodiversity digital holography spatial characteristics temporal characteristics submersible camera |
url |
https://www.frontiersin.org/article/10.3389/fmars.2020.00653/full |
work_keys_str_mv |
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