Results 101 to 110 of about 279 (122)
Machine learning for refining interpretation of magnetic resonance imaging scans in the management of multiple sclerosis: a narrative review. [PDF]
R Soc Open SciSzekely-Kohn AC +6 more
europepmc +1 more source
The increasing deployment and management of satellites across diverse orbital regimes by Brazilian military and civilian entities have highlighted the necessity to enhance the space situational awareness (SSA) capabilities of the Brazilian Space ...
Amorim dos Reis Carvalho, Paolo
core
Safe and sustained access to space is increasingly being threatened by the growing number of satellite launches and large amounts of space debris. Having the ability to detect and track these Resident Space Objects (RSOs) is crucial to predict and avoid ...
Guinane, Julian
core
Radar Technologies for Low Earth Orbit Resident Space Objects Tracking and Orbit Determination
The purpose of this thesis, at the end of this research period, is to describe algorithms for tracking and orbit determination of resident space objects (RSO) moving on the Low Earth Orbit (LEO) by using radar and optical sensors. First of all a study of
GENTILE, LUCA
core
Daylight Measurement Acquisition of Defunct Resident Space Objects Combining Active and Passive Electro-Optical Systems [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2022 The uncontrolled growing number of resident space objects (RSOs) threatens the safe operation of space-related activities. Since the beginning of the Space Age, outer space is getting populated by objects emerging after breakup ...
Julian Rodriguez-Villamizar +1 more
exaly +2 more sources
Multi-Bistatic Radar for Resident Space Objects Feature Estimation
, 2018 The amount of space debris orbiting the Earth has seen a dramatic grow through the recent years. Its rising population increases the potential danger to space missions.
M Martorella
exaly +2 more sources
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Resident Space Objects Detection and Tracking with a Multi-Camera Telescope
The characterization of Resident Space Objects (RSOs) is essential for supporting various Space Situational Awareness functions, including precise orbit determination and collision prevention.
Roberto Opromolla, Giancarmine Fasano
exaly +2 more sources
SPIE Proceedings, 2015
This research paper deals with methods for improving the performance of Electro-optical detection systems designed to find Resident Space Objects (RSOs). Some methods for detecting RSOs rely on accurate knowledge of the system Point Spread Function (PSF).
Tyler J. Hardy, Stephen C. Cain
openaire +1 more source
This research paper deals with methods for improving the performance of Electro-optical detection systems designed to find Resident Space Objects (RSOs). Some methods for detecting RSOs rely on accurate knowledge of the system Point Spread Function (PSF).
Tyler J. Hardy, Stephen C. Cain
openaire +1 more source
2019 IEEE International Conference on Imaging Systems and Techniques (IST), 2019
A novel cognitive radar, operating on Polarimetric Dynamic Vision Sensor (pDVS) and deep learning principles, aimed at discriminating moving targets, based on their motion patterns, is presented. The system consists of an asynchronous event-based neuromorphic imaging sensor coupled with polarization filters which enable better discrimination; a ...
Martin Nowak +10 more
openaire +1 more source
A novel cognitive radar, operating on Polarimetric Dynamic Vision Sensor (pDVS) and deep learning principles, aimed at discriminating moving targets, based on their motion patterns, is presented. The system consists of an asynchronous event-based neuromorphic imaging sensor coupled with polarization filters which enable better discrimination; a ...
Martin Nowak +10 more
openaire +1 more source