Results 31 to 40 of about 20,966 (203)

ARTMAP-FTR: A Neural Network for Object Recognition Through Sonar on a Mobile Robot [PDF]

open access: yes, 1998
ART (Adaptive Resonance Theory) neural networks for fast, stable learning and prediction have been applied in a variety of areas. Applications include automatic mapping from satellite remote sensing data, machine tool monitoring, medical prediction ...
Carpenter, Gail A.   +2 more
core   +1 more source

Trends in marine species distribution models: a review of methodological advances and future challenges

open access: yesEcography, EarlyView.
Correlative species distribution models (SDMs) are quantitative tools in biogeography and macroecology. Building upon the ecological niche concept, they correlate environmental covariates to species presence to model habitat suitability and predict species distributions.
Moritz Klaassen   +3 more
wiley   +1 more source

Benthic habitat mapping in the Olympic Coast National Marine Sanctuary: Classification of side scan sonar data from survey HMPR-108-2002-01: Version I [PDF]

open access: yes, 2006
In September 2002, side scan sonar was used to image a portion of the sea floor in the northern OCNMS and was mosaiced at 1-meter pixel resolution using 100 kHz data collected at 300-meter range scale.
Cochrane, G. R., Intelmann, Steven S.
core  

Recent advances in multifunctional soft robots: A materials–structures–systems co‐design perspective for synergistic integration

open access: yesFlexMat, EarlyView.
Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu   +3 more
wiley   +1 more source

Underwater Cylindrical Object Detection Using the Spectral Features of Active Sonar Signals with Logistic Regression Models

open access: yesApplied Sciences, 2018
The issue of detecting objects bottoming on the sea floor is significant in various fields including civilian and military areas. The objective of this study is to investigate the logistic regression model to discriminate the target from the clutter and ...
Yoojeong Seo   +4 more
doaj   +1 more source

Olympic Coast National Marine Sanctuary Habitat Mapping: Survey report and classification of side scan sonar data from surveys HMPR-114-2004-02 and HMPR-116-2005-01. [PDF]

open access: yes, 2006
The Olympic Coast National Marine Sanctuary (OCNMS) continues to invest significant resources into seafloor mapping activities along Washington’s outer coast (Intelmann and Cochrane 2006; Intelmann et al. 2006; Intelmann 2006).
Cochrane, Guy R., Intelmann, Steven S.
core  

Acoustics in water: synergies with marine biology [PDF]

open access: yes, 2016
This paper presents some of the bioacoustics related analysis that was performed on the ANTARES data, focussing on the year 2014. The data was processed for sperm whale, dolphin and shipping presence and grouped by hour of the day.
André, Michel   +7 more
core   +1 more source

PNNL‐TUNAMELT: Toward automating the detection of interactions with marine energy devices using acoustic camera sensors

open access: yesLimnology and Oceanography: Methods, EarlyView.
Abstract Acoustic cameras, or imaging sonars, are often used to monitor marine energy sites in regions where the water is too dark or turbid for optical sensing. To do so more effectively, scientists are investigating automated detection methodologies to use on these data.
Theodore Nowak   +2 more
wiley   +1 more source

Classification of unarmed/armed personnel using the NetRAD multistatic radar for micro-Doppler and singular value decomposition features [PDF]

open access: yes, 2015
In this letter, we present the use of experimental human micro-Doppler signature data gathered by a multistatic radar system to discriminate between unarmed and potentially armed personnel walking along different trajectories.
Fioranelli, Francesco   +2 more
core   +1 more source

Seabed classification in the Gulf of Alaska from acoustic surveys using deep learning

open access: yesLimnology and Oceanography: Methods, EarlyView.
Abstract High‐resolution mapping of seafloor habitats has wide applications for fisheries, conservation efforts, offshore infrastructure planning, mineral extraction, and scientific modeling. This study leverages existing widespread single‐beam acoustic data and machine learning to create habitat maps for the Gulf of Alaska at a spatial resolution of ...
Karuna Agarwal   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy