Results 41 to 50 of about 32,153 (173)

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]

, 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  

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

FlexMat, 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, Zicao Peng, Chong Sun, Haitao Yang   +3 more
wiley   +1 more source

Multibeam volume acoustic backscatter imagery and reverberation measurements in the Northeastern Gulf of Mexico [PDF]

, 2002
Multibeam volume acoustic backscatterimagery and reverberation measurements are derived from data collected in 200-m-deep waters in the northeastern Gulf of Mexico, with the Toroidal Volume Search Sonar (TVSS), a 68-kHz cylindrical sonar operated by the ...
de Moustier, Christian, Gallaudet, Timoth C   +1 more
core   +3 more sources

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

Limnology 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, Christopher N. Rooper, Kresimir Williams   +2 more
wiley   +1 more source

A Low Complexity $16\times16$ Butler Matrix Design Using Eight-Port Hybrids

IEEE Access, 2019
Beamforming networks such as Butler Matrices are important for multibeam array antenna applications. The challenge for Butler Matrix design is that their complexity increases with the number of ports.
Qingling Yang, Steven Gao, Qi Luo, Lehu Wen, Xiaofei Ren, Jian Wu, Yong-Ling Ban, Xuexia Yang   +7 more
doaj   +1 more source

The use of singlebeam echo‐sounder depth data to produce demersal fish distribution models that are comparable to models produced using multibeam echo‐sounder depth

Ecology and Evolution, 2021
Seafloor characteristics can help in the prediction of fish distribution, which is required for fisheries and conservation management. Despite this, only 5%–10% of the world's seafloor has been mapped at high resolution, as it is a time‐consuming and ...
Marcela Montserrat Landero Figueroa, Miles J. G. Parsons, Benjamin J. Saunders, Ben Radford, Chandra Salgado‐Kent, Iain M. Parnum   +5 more
doaj   +1 more source

Performing a Sonar Acceptance Test of the Kongsberg EM712 Using Open-Source Software: A Case Study of Kluster

Geomatics, 2022
In the world of seafloor mapping, the ability to explore and experiment with a dataset in its raw and processed forms is critical. Kluster is an open-source multibeam data processing software package written in Python that enables this exploration ...
Eric Younkin, S. Harper Umfress
doaj   +1 more source

Multicast Multigroup Precoding and User Scheduling for Frame-Based Satellite Communications [PDF]

, 2014
The present work focuses on the forward link of a broadband multibeam satellite system that aggressively reuses the user link frequency resources. Two fundamental practical challenges, namely the need to frame multiple users per transmission and the per ...
Chatzinotas, Symeon, Christopoulos, Dimitrios, Ottersten, Bjorn   +2 more
core   +3 more sources

Comparing convolutional neural network and random forest for benthic habitat mapping in Apollo Marine Park

Remote Sensing in Ecology and Conservation, EarlyView.
A comparison of Convolutional Neural Network (CNN) and Random Forest (RF) model predictions of benthic habitats within Apollo Marine Park. The CNN (left) and RF (right) classification maps show the spatial distribution of three habitat types: high energy circalittoral rock with seabed‐covering sponges, low complexity circalittoral rock with non‐crowded
Henry Simmons, Dang Nguyen, Benjamin Misiuk, Daniel Ierodiaconou, Sunil Gupta, Oli Dalby, Mary Young   +6 more
wiley   +1 more source

Incorporating environmental DNA metabarcoding for improved benthic biodiversity and habitat mapping

Remote Sensing in Ecology and Conservation, EarlyView.
Seafloor imagery is commonly used to collect information about the distribution of benthic organisms in order to generate habitat and biodiversity maps. Recent advances in genomics (e.g., environmental DNA; eDNA) show potential to complement video surveys for habitat mapping, but there have been few examples testing this.
Rylan J. Command, Shreya Nemani, Benjamin Misiuk, Mehrdad Hajibabaei, Nicole Fahner, Emily Porter, Greg Singer, Beverly McClenaghan, Katleen Robert   +8 more
wiley   +1 more source