Results 21 to 30 of about 5,464,510 (283)
Earth Orbiting Resident Space Objects Characterization based on Astrometric Data
, 2023 Due to the increasing number of Resident Space Objects, it becomes fundamental to characterize them. In particular, the ballistic coefficient and the effective ballistic coefficient play an important role for LEO and MEO/GEO objects.
Alessandro Panico +10 more
core +1 more source
Simulation of RSO Images for Space Situation Awareness (SSA) Using Parallel Processing
Sensors, 2021 With the rapid increase in resident space objects (RSO), there is a growing demand for their identification and characterization to advance space simulation awareness (SSA) programs.
Ryan Clark +3 more
doaj +1 more source
Remote Sensing, 2022 This paper describes the use of the Murchison Widefield Array, a low-frequency radio telescope at a radio-quiet Western Australian site, as a radar receiver forming part of a continent-spanning multistatic radar network for the surveillance of space ...
Brendan Hennessy +7 more
doaj +1 more source
Sensors, 2022 A catalogue of over 22,000 objects in Earth’s orbit is currently maintained, and that number is expected to double within the next decade. Novel data collection regimes are needed to scale our ability to detect, track, classify and characterize resident ...
Siddharth Dave +2 more
doaj +1 more source
Multi-Site Simultaneous Time-Resolved Photometry with a Low Cost Electro-Optics System
Sensors, 2017 Sunlight reflected off of resident space objects can be used as an optical signal for astrometric orbit determination and for deducing geometric information about the object.
Forrest Gasdia +2 more
doaj +1 more source
Design and Validation of a U-Net-Based Algorithm for Star Sensor Image Segmentation
Applied Sciences, 2023 The present work focuses on the investigation of an artificial intelligence (AI) algorithm for brightest objects segmentation in night sky images’ field of view (FOV).
Marco Mastrofini +2 more
doaj +1 more source
Monocular Relative Pose Estimation Pipeline for Uncooperative Resident Space Objects
Journal of Aerospace Information Systems, 2022 This paper aims to present a deep learning-based pipeline for estimating the pose of an uncooperative target spacecraft from a single grayscale monocular image. The possibility of enabling autonomous vision-based relative navigation in close proximity to a noncooperative resident space object would be especially appealing for mission scenarios such as ...
Massimo Piazza +2 more
openaire +1 more source
Daylight Measurement Acquisition of Defunct Resident Space Objects Combining Active and Passive Electro-Optical Systems. [PDF]
, 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 ...
Schildknecht, Thomas +3 more
core +2 more sources
, 2023 The imaging and inspection of Resident Space Objects (RSOs) is an increasingly important mission as space-faring nations and commercial enterprises alike seek to develop means to repair and refuel spacecraft, as well as de-orbit RSOs to reduce orbital ...
Dahlke, Jacob +5 more
core +1 more source
, 2023 437442In this paper, 3D reconstruction of resident space objects (RSO) in orbit using a radar network with one transmitter and three receivers is studied.
Hoffmann, Rudolf +3 more
core +1 more source