Special Issue "Innovative Methods for Satellite and Space Debris Identification and Motion Reconstruction"

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.

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