Results 11 to 20 of about 2,566 (256)

Towards Benthic Habitat 3D Mapping Using Machine Learning Algorithms and Structures from Motion Photogrammetry

open access: yesRemote Sensing, 2020
The accurate classification and 3D mapping of benthic habitats in coastal ecosystems are vital for developing management strategies for these valuable shallow water environments.
Hassan Mohamed   +2 more
doaj   +3 more sources

3D MAPPING OF BENTHIC HABITAT USING XGBOOST AND STRUCTURE FROM MOTION PHOTOGRAMMETRY [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
Benthic habitats mapping is essential to the management and conservation of marine ecosystems. The traditional methods of mapping benthic habitats, which involve multibeam data acquisition and manually collecting and annotating imagery data, are time ...
S. Morsy   +4 more
doaj   +1 more source

Towards Adaptive Benthic Habitat Mapping [PDF]

open access: yes2020 IEEE International Conference on Robotics and Automation (ICRA), 2020
To be published in ICRA2020 conference proceedings.
Jackson Shields   +2 more
openaire   +4 more sources

Klasifikasi Habitat Bentik Berdasarkan Citra Sentinel-2 di Kepulauan Kei, Maluku Tenggara

open access: yesJurnal Ilmu Pertanian Indonesia, 2022
Imagery classification has long been used in analyzing remote sensing data. The use of the classification algorithm model can affect the results in interpreting benthic habitats in shallow water.
La Ode Alifatri   +2 more
doaj   +1 more source

Semiautomated Mapping of Benthic Habitats and Seagrass Species Using a Convolutional Neural Network Framework in Shallow Water Environments

open access: yesRemote Sensing, 2020
Benthic habitats are structurally complex and ecologically diverse ecosystems that are severely vulnerable to human stressors. Consequently, marine habitats must be mapped and monitored to provide the information necessary to understand ecological ...
Hassan Mohamed   +2 more
doaj   +1 more source

Automatic Semantic Segmentation of Benthic Habitats Using Images from Towed Underwater Camera in a Complex Shallow Water Environment

open access: yesRemote Sensing, 2022
Underwater image segmentation is useful for benthic habitat mapping and monitoring; however, manual annotation is time-consuming and tedious. We propose automated segmentation of benthic habitats using unsupervised semantic algorithms.
Hassan Mohamed   +2 more
doaj   +1 more source

Benthic habitat mapping with autonomous underwater vehicles [PDF]

open access: yesOCEANS 2008, 2008
We provide an outline of an autonomous benthic habitat mapping algorithm. This algorithm enables real-time on-board classification of images gathered by an autonomous underwater vehicle (AUV), with the ability to classify aquatic vegetation at a resolution approaching the species level.
Andrew Davie   +4 more
openaire   +1 more source

Classifying the Baltic Sea Shallow Water Habitats Using Image-Based and Spectral Library Methods

open access: yesRemote Sensing, 2013
The structure of benthic macrophyte habitats is known to indicate the quality of coastal water. Thus, a large-scale analysis of the spatial patterns of coastal marine habitats enables us to adequately estimate the status of valuable coastal marine ...
Tiit Kutser, Ele Vahtmäe
doaj   +1 more source

Shallow-Water Coral Communities Support the Separation of Marine Ecoregions on the West-Central Florida Gulf Coast

open access: yesFrontiers in Ecology and Evolution, 2020
Florida’s west coast is a 170,000 km2 bedrock shelf (west Florida shelf, WFS) comprised of north-south discontinuous carbonate outcroppings extending more than 200 km from the intertidal zone to a depth of 200 m.
Brian K. Walker   +5 more
doaj   +1 more source

Technical note: Mapping benthic marine habitats featuring coralligenous bioconstructions: a new approach to support geobiological research [PDF]

open access: yesOcean Science
Seabed mapping represents a very useful tool for seascape characterization and benthic habitat study and requires advanced technologies for acquiring, processing, and interpreting remote data.
G. Maruca   +16 more
doaj   +1 more source

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