Innovative Methods for Satellite and Space Debris Identification and Motion Reconstruction

A special issue of Aerospace (ISSN 2226-4310). This special issue belongs to the section "Astronautics & Space Science".

Deadline for manuscript submissions: 31 July 2024 | Viewed by 1253

Special Issue Editors


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Guest Editor
Institute of Complex System (ICS), National Council of Research (CNR), UOS Sapienza, 00185 Rome, Italy
Interests: space debris; satellite and debris tracking system; optical observations; stereometry; object segmentation; object detection; computer vision

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Guest Editor
Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, via Eudossiana 18, 00184, Rome, Italy
Interests: CubeSats; small satellites; satellites system engineering; satellite constellations; in-orbit experiments; satellite navigation; space system development and operations; space traffic management; space debris
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Special Issue Information

Dear Colleagues,

The rapid advancement of space exploration and exploitation and satellite technology has led to an increasing number of in-orbit objects. This growth in space debris poses significant challenges regarding the safety and sustainability of future space missions. To address this critical issue, we are inviting researchers and experts in the field to contribute their original research to a Special Issue on "Innovative Methods for Satellite and Space Debris Identification and Motion Reconstruction".

This Special Issue aims to bring together cutting-edge research on the development of novel techniques and methodologies for the identification and motion reconstruction of satellites and space debris. We encourage submissions that explore a wide range of innovative approaches, including, but not limited to:

  • Sensor fusion and data integration techniques for space debris tracking and identification;
  • Machine learning and artificial intelligence algorithms for automated detection and classification of satellites and debris;
  • Advanced image processing and computer vision techniques for satellite imagery analysis;
  • Radar and lidar-based methods for space debris detection and tracking;
  • Multi-sensor data fusion for accurate motion estimation and trajectory prediction of space objects.
  • Statistical modeling and optimization techniques for space debris population analysis;
  • Innovative sensor technologies and platforms for space situational awareness;
  • Modeling and tracking of novel mission profiles (e.g., SSTO, suborbital spaceplanes, mega-constellations, and higher-orbit exploitation);
  • Mitigation techniques for space debris density and population;
  • Uncertainty quantification and error propagation in space debris tracking and motion reconstruction.

Authors are encouraged to present original research articles that provide a comprehensive overview of the state of the art in this rapidly evolving field.

Dr. Leonardo Parisi
Dr. Paolo Marzioli
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Aerospace is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • satellite
  • space debris
  • identification
  • motion
  • tracking
  • orbit determination
  • attitude

Published Papers (1 paper)

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Research

17 pages, 7879 KiB  
Article
A Dual Perspective on Geostationary Satellite Monitoring Using DSLR RGB and sCMOS Sloan Filters
by Lorenzo Mariani, Lorenzo Cimino, Matteo Rossetti, Mascia Bucciarelli, Shariar Hadji Hossein, Simone Varanese, Gaetano Zarcone, Marco Castronuovo, Alessandra Di Cecco, Paolo Marzioli and Fabrizio Piergentili
Aerospace 2023, 10(12), 1026; https://doi.org/10.3390/aerospace10121026 - 12 Dec 2023
Viewed by 952
Abstract
This paper outlines a multi-system approach for ground-based optical observations and the characterization of satellites in geostationary orbit. This multi-system approach is based on an in-depth analysis of the key factors to consider for light curve analysis of Earth’s orbiting satellites. Light curves [...] Read more.
This paper outlines a multi-system approach for ground-based optical observations and the characterization of satellites in geostationary orbit. This multi-system approach is based on an in-depth analysis of the key factors to consider for light curve analysis of Earth’s orbiting satellites. Light curves have been observed in different spectral bands using two different systems. The first system is specialized for astronomical observations and consists of a telescope equipped with an sCMOS camera and Sloan photometric filters. In contrast, the second system is a more cost-effective solution designed for professional non-astronomical applications, incorporating DSLR cameras equipped with RGB channels associated with a Bayer mask and photographic lenses. This comparative analysis aims to highlight the differences and advantages provided by each system, stressing their respective performance characteristics. The observed light curves will be presented as a function of the phase angle, which depends on the relative positions of the observer, the object, and the Sun. This angle plays an important role in optimizing the visibility of Earth’s orbiting satellites. Finally, multiband observations of different satellites will be compared to seek an associated spectral signature, which may allow the identification of structurally similar objects through optical observations. Full article
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