Underwater hyperspectral imaging (UHI): A review of systems and applications for proximal seafloor ecosystem studies
Marine ecosystem monitoring requires observations of its attributes at different spatial and
temporal scales that traditional sampling methods (eg, RGB imaging, sediment cores) …
temporal scales that traditional sampling methods (eg, RGB imaging, sediment cores) …
A new deep learning engine for coralnet
CoralNet is a cloud-based website and platform for manual, semi-automatic and automatic
analysis of coral reef images. Users access CoralNet through optimized web-based …
analysis of coral reef images. Users access CoralNet through optimized web-based …
Automated classification of three-dimensional reconstructions of coral reefs using convolutional neural networks
BM Hopkinson, AC King, DP Owen… - PloS one, 2020 - journals.plos.org
Coral reefs are biologically diverse and structurally complex ecosystems, which have been
severally affected by human actions. Consequently, there is a need for rapid ecological …
severally affected by human actions. Consequently, there is a need for rapid ecological …
Towards benthic habitat 3D mapping using machine learning algorithms and structures from motion photogrammetry
H Mohamed, K Nadaoka, T Nakamura - Remote Sensing, 2020 - mdpi.com
The accurate classification and 3D mapping of benthic habitats in coastal ecosystems are
vital for developing management strategies for these valuable shallow water environments …
vital for developing management strategies for these valuable shallow water environments …
[HTML][HTML] Fast and accurate mapping of fine scale abundance of a VME in the deep sea with computer vision
N Piechaud, KL Howell - Ecological Informatics, 2022 - Elsevier
With growing anthropogenic pressure on deep-sea ecosystems, large quantities of data are
needed to understand their ecology, monitor changes over time and inform conservation …
needed to understand their ecology, monitor changes over time and inform conservation …
Repeatable semantic reef-mapping through photogrammetry and label-augmentation
In an endeavor to study natural systems at multiple spatial and taxonomic resolutions, there
is an urgent need for automated, high-throughput frameworks that can handle plethora of …
is an urgent need for automated, high-throughput frameworks that can handle plethora of …
[HTML][HTML] Coral reef monitoring by scuba divers using underwater photogrammetry and geodetic surveying
Underwater photogrammetry is increasingly being used by marine ecologists because of its
ability to produce accurate, spatially detailed, non-destructive measurements of benthic …
ability to produce accurate, spatially detailed, non-destructive measurements of benthic …
A survey on underwater coral image segmentation based on deep learning
Image-based coral reef survey technologies have revolutionized the monitoring of coral
reefs by offering a cost-effective and noninvasive method for collecting data across large …
reefs by offering a cost-effective and noninvasive method for collecting data across large …
CNet: A Novel Seabed Coral Reef Image Segmentation Approach Based on Deep Learning
Achieving underwater coral seabed image segmentation involves dividing an image into
meaningful regions or segments, which, in this case, could represent different types of …
meaningful regions or segments, which, in this case, could represent different types of …
Combining photogrammetric Computer vision and semantic segmentation for fine-grained understanding of coral reef growth under climate change
Corals are the primary habitat-building life-form on reefs that support a quarter of the species
in the ocean. A coral reef ecosystem usually consists of reefs, each of which is like a tall …
in the ocean. A coral reef ecosystem usually consists of reefs, each of which is like a tall …