Neuromorphic Architectures for Space Internet of Things (IoT)

• Published in: 2023 IEEE International Conference on Imaging Systems and Techniques (IST) pp. 1 - 6
• Main Authors: Beninati, Anthony, Barnes, Charles, Munch, Christian, Douard, Nicolas, Gojcaj, Gabriel, Appiah, Obed, Kopchak, Yulia, Griffin, Jack, Tsamis, Petros, Reddy Mandadi, Bharath Kumar, Wang, Yi, Shrestha, Suman, Giakos, George C.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 17-10-2023
• Subjects: Computer architecture; Detectors; Imaging; Local Entropy; Mueller Matrix; Neuromorphic Detection and Computing; Neuromorphics; Polarimetric Dynamic Vision Sensor p(DVS); Space Internet of Things (IoT); Space Situational Awareness (SSA); Space Surveillance; Stokes parameters; Surveillance; Vision sensors
• ISSN: 2832-4234
• DOI: 10.1109/IST59124.2023.10606102

This research opens a new possibility for Space Internet of Things (IoT) using neuromorphic detectors. Space IoT network architectures aiming at an increased performance in terms of fast data transmission with reduced latency, data storage, reduced operating power, efficient computational are imperative. The performance of a new class of neuromorphic detectors, the so called "Polarimetric Dynamic Vision Sensors" (pDVS)s were studied, under different operating scenarios. The acquired imaging signals were processed via Stokes parameter analysis and then analyzed using polarimetric Figure-of-Merits (FOM)s and established metrics. The outcome of this study will allow one to design and optimize robust and efficient neuromorphic sensing and computing architectures for Space IoT with emphasis on Space Situational Awareness (SSA) and Space Surveillance applications.