Results 111 to 120 of about 13,392 (258)

FLSea: Underwater Visual–Inertial and Stereovision Forward‐Looking Data Sets

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Visibility underwater is challenging and degrades as the distance between the subject and the camera increases. That is why forward‐looking underwater computer vision tasks are difficult. We have collected underwater forward‐looking stereovision and visual–inertial image sets using two underwater imaging platforms, a stereo camera rig, and an ...
Yelena Randall   +2 more
wiley   +1 more source

Formation Control With Obstacle Avoidance of Underwater Swarms Based on Relative Visual Feedback

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Underwater multi‐robot and swarm systems require advanced methodologies for controlling collective behavior. Conventional single‐robot techniques, such as tethering, sonar imaging, and acoustic localization, are not scalable or effective for swarm applications.
Andrea Infanti   +7 more
wiley   +1 more source

River‐Scale Evaluation of a Floating LED Light Array for Behavioral Guidance of American Eel

open access: yesRiver Research and Applications, EarlyView.
ABSTRACT Exploiting the sensory physiology of migratory fishes to guide them away from hazards like hydroelectric turbines is of interest to regulatory agencies and hydropower operators to achieve conservation and management goals. Here we describe a river‐scale experiment where out‐migrating adult American eel (Anguilla rostrata) were tracked ...
Chris K. Elvidge   +13 more
wiley   +1 more source

Classification of tree species and standing dead trees in Boreal forests using UAV‐based RGB, multispectral, and LiDAR point clouds

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
We evaluated single‐ and multi‐sensor UAV approaches for classifying tree species and standing dead trees in boreal forests, focusing on key biodiversity indicators such as European aspen. Using spectral and structural features extracted from RGB, multispectral (MSP), and LiDAR point clouds for 1,205 field‐measured trees, we compared classification ...
Anton Kuzmin   +5 more
wiley   +1 more source

Mapping Scytonemin Pigment Content and Biocrust Functional Indicators Using High‐Resolution Multispectral Imagery

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
We demonstrate that high‐resolution multispectral imagery combined with machine learning can accurately predict key biocrust functional indicators, particularly the UV‐protective pigment scytonemin, across dryland ecosystems. Using fine‐scale imagery acquired in the Chihuahuan Desert and Colorado Plateau, we identified spectral bands strongly ...
Raúl Román   +8 more
wiley   +1 more source

Preprocessing Procedure for Propagation Measurements on MEO Satellite Links

open access: yesInternational Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT This paper presents a software tool designed for preprocessing data from an experimental campaign aimed at characterizing the tropospheric propagation channel using Medium Earth Orbit (MEO) satellites. The collected data provide critical insights into the channel in scenarios involving continuous variations in azimuth and elevation, along with
Marlene Brás   +2 more
wiley   +1 more source

Tracing Three Decades of Low Earth Orbit Satellite Communication Development: A Bibliometric and Main Path Analysis of Network Architectures, Protocol Evolution, and Emerging Intelligent Services

open access: yesInternational Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT Low Earth Orbit (LEO) satellite communication systems have evolved into a critical component of global broadband networks, enabling wide‐area connectivity, IoT services, and intelligent multilayer satellite–terrestrial integration. Despite rapid advancements in constellation deployment, routing mechanisms, resource management, and LEO–5G/6G ...
Wei‐Hao Su   +2 more
wiley   +1 more source

Integrating Image Segmentation and Deep Learning to Improve Radio Frequency Propagation Models

open access: yesInternational Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT This paper proposes a multi‐sensor approach to improve radio frequency (RF) propagation models, which play a key role in the rapidly expanding field of connected vehicle technology. Focusing on the 1‐ to 20‐GHz frequency range, which is critical for both satellite‐to‐vehicle and base station‐to‐vehicle communications, our study introduces a ...
Jonathan Israel   +2 more
wiley   +1 more source

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