Close-range underwater photogrammetry for coral reef ecology: a systematic literature review
Close-range underwater photogrammetry, hereafter referred to as photogrammetry, is
rapidly emerging as a new standard in measuring and monitoring coral reefs due to its …
rapidly emerging as a new standard in measuring and monitoring coral reefs due to its …
Methods and datasets on semantic segmentation for Unmanned Aerial Vehicle remote sensing images: A review
Abstract Unmanned Aerial Vehicle (UAV) has seen a dramatic rise in popularity for remote-
sensing image acquisition and analysis in recent years. It has brought promising results in …
sensing image acquisition and analysis in recent years. It has brought promising results in …
TagLab: AI‐assisted annotation for the fast and accurate semantic segmentation of coral reef orthoimages
Semantic segmentation is a widespread image analysis task; in some applications, it
requires such high accuracy that it still has to be done manually, taking a long time. Deep …
requires such high accuracy that it still has to be done manually, taking a long time. Deep …
[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 …
Needs and gaps in optical underwater technologies and methods for the investigation of marine animal forest 3D-structural complexity
Marine animal forests are benthic communities dominated by sessile suspension feeders
(such as sponges, corals, and bivalves) able to generate three-dimensional (3D) …
(such as sponges, corals, and bivalves) able to generate three-dimensional (3D) …
Seeing the forest for the trees: Mapping cover and counting trees from aerial images of a mangrove forest using artificial intelligence
Mangrove forests provide valuable ecosystem services to coastal communities across
tropical and subtropical regions. Current anthropogenic stressors threaten these ecosystems …
tropical and subtropical regions. Current anthropogenic stressors threaten these ecosystems …
3D photogrammetry and deep‐learning deliver accurate estimates of epibenthic biomass
Accurate biomass estimates are key to understanding a wide variety of ecological functions.
In marine systems, epibenthic biomass estimates have traditionally relied on either …
In marine systems, epibenthic biomass estimates have traditionally relied on either …
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 …
Digitizing the coral reef: Machine learning of underwater spectral images enables dense taxonomic mapping of benthic habitats
D Schürholz, A Chennu - Methods in Ecology and Evolution, 2023 - Wiley Online Library
Coral reefs are the most biodiverse marine ecosystems, and host a wide range of taxonomic
diversity in a complex spatial community structure. Existing coral reef survey methods …
diversity in a complex spatial community structure. Existing coral reef survey methods …
Automatic semantic segmentation of benthic habitats using images from towed underwater camera in a complex shallow water environment
H Mohamed, K Nadaoka, T Nakamura - Remote Sensing, 2022 - mdpi.com
Underwater image segmentation is useful for benthic habitat mapping and monitoring;
however, manual annotation is time-consuming and tedious. We propose automated …
however, manual annotation is time-consuming and tedious. We propose automated …