Spatial scale and geographic context in benthic habitat mapping: review and future directions
Understanding the effects of scale is essential to the understanding of natural ecosystems,
particularly in marine environments where sampling is more limited and sporadic than in …
particularly in marine environments where sampling is more limited and sporadic than in …
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 …
Semi-automated image analysis for the assessment of megafaunal densities at the Arctic deep-sea observatory HAUSGARTEN
T Schoening, M Bergmann, J Ontrup, J Taylor… - PloS one, 2012 - journals.plos.org
Megafauna play an important role in benthic ecosystem function and are sensitive indicators
of environmental change. Non-invasive monitoring of benthic communities can be …
of environmental change. Non-invasive monitoring of benthic communities can be …
Energy‐efficient path planning for solar‐powered mobile robots
We explore the problem of energy‐efficient, time‐constrained path planning of a solar‐
powered robot embedded in a terrestrial environment. Because of the effects of changing …
powered robot embedded in a terrestrial environment. Because of the effects of changing …
Autonomous adaptive exploration using realtime online spatiotemporal topic modeling
The exploration of dangerous environments such as underwater coral reefs and shipwrecks
is a difficult and potentially life-threatening task for humans, which naturally makes the use of …
is a difficult and potentially life-threatening task for humans, which naturally makes the use of …
Assessment of machine learning algorithms for automatic benthic cover monitoring and mapping using towed underwater video camera and high-resolution satellite …
H Mohamed, K Nadaoka, T Nakamura - Remote Sensing, 2018 - mdpi.com
Benthic habitat monitoring is essential for many applications involving biodiversity, marine
resource management, and the estimation of variations over temporal and spatial scales …
resource management, and the estimation of variations over temporal and spatial scales …
High-resolution benthic habitat mapping from machine learning on PlanetScope imagery and ICESat-2 data
This study proposed a comprehensive approach that utilized PlanetScope imagery for
classifying tropical-marine benthic habitats after retrieving bathymetry from ICESat-2 data …
classifying tropical-marine benthic habitats after retrieving bathymetry from ICESat-2 data …
Rendezvous path planning for multiple autonomous marine vehicles
In this paper, a distributed shell-space decomposition (DSSD) scheme is proposed for
rendezvous trajectory planning of multiple autonomous marine vehicles (AMVs); this …
rendezvous trajectory planning of multiple autonomous marine vehicles (AMVs); this …
Multimodal learning and inference from visual and remotely sensed data
D Rao, M De Deuge… - … Journal of Robotics …, 2017 - journals.sagepub.com
Autonomous vehicles are often tasked to explore unseen environments, aiming to acquire
and understand large amounts of visual image data and other sensory information. In such …
and understand large amounts of visual image data and other sensory information. In such …
[PDF][PDF] Automated species detection: An experimental approach to kelp detection from sea-floor AUV images
This paper presents an experimental study of automated species detection systems suitable
for use with Autonomous Underwater Vehicle (AUV) data. The automated detection systems …
for use with Autonomous Underwater Vehicle (AUV) data. The automated detection systems …