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From the Hensen net toward four-dimensional biological oceanography
The development of quantitative zooplankton collecting systems began with Hensen (1887
Berichte der Kommssion wissenschaftlichen Untersuchung der deutschen Meere in Kiel5, 1 …
Berichte der Kommssion wissenschaftlichen Untersuchung der deutschen Meere in Kiel5, 1 …
Water monitoring by means of digital microscopy identification and classification of microalgae
L Barsanti, L Birindelli, P Gualtieri - Environmental Science: Processes …, 2021 - pubs.rsc.org
Marine and freshwater microalgae belong to taxonomically and morphologically diverse
groups of organisms spanning many phyla with thousands of species. These organisms play …
groups of organisms spanning many phyla with thousands of species. These organisms play …
The Underwater Vision Profiler 5: An advanced instrument for high spatial resolution studies of particle size spectra and zooplankton
The Underwater Vision Profiler (UVP) was developed to quantify the vertical distribution of
macroscopic particles and zooplankton> 100 mm in size. The smaller size limit is fixed by …
macroscopic particles and zooplankton> 100 mm in size. The smaller size limit is fixed by …
Automated plankton image analysis using convolutional neural networks
The rise of in situ plankton imaging systems, particularly high‐volume imagers such as the In
Situ Ichthyoplankton Imaging System, has increased the need for fast processing and …
Situ Ichthyoplankton Imaging System, has increased the need for fast processing and …
[PDF][PDF] Active learning to recognize multiple types of plankton.
This paper presents an active learning method which reduces the labeling effort of domain
experts in multi-class classification problems. Active learning is applied in conjunction with …
experts in multi-class classification problems. Active learning is applied in conjunction with …
Improving plankton image classification using context metadata
Advances in both hardware and software are enabling rapid proliferation of in situ plankton
imaging methods, requiring more effective machine learning approaches to image …
imaging methods, requiring more effective machine learning approaches to image …
Zooglider: An autonomous vehicle for optical and acoustic sensing of zooplankton
MD Ohman, RE Davis, JT Sherman… - Limnology and …, 2019 - Wiley Online Library
We present the design and preliminary results from ocean deployments of Zooglider, a new
autonomous zooplankton‐sensing glider. Zooglider is a modified Spray glider that includes …
autonomous zooplankton‐sensing glider. Zooglider is a modified Spray glider that includes …
Robotics in remote and hostile environments
In our continuing quest for knowledge, robots are powerful tools for accessing environments
too dangerous or too remote for human exploration. Early systems functioned under close …
too dangerous or too remote for human exploration. Early systems functioned under close …
Automatic plankton image classification combining multiple view features via multiple kernel learning
Background Plankton, including phytoplankton and zooplankton, are the main source of
food for organisms in the ocean and form the base of marine food chain. As the fundamental …
food for organisms in the ocean and form the base of marine food chain. As the fundamental …
Autonomous underwater vehicles: Identifying critical issues and future perspectives in image acquisition
A Monterroso Muñoz, MJ Moron-Fernández… - Sensors, 2023 - mdpi.com
Underwater imaging has been present for many decades due to its relevance in vision and
navigation systems. In recent years, advances in robotics have led to the availability of …
navigation systems. In recent years, advances in robotics have led to the availability of …