摘要
As an emerging approach to space situational awareness and space imaging,the practical use of an event-based camera(EBC)in space imaging for precise source analysis is still in its infancy.The nature of event-based space imaging and data collection needs to be further explored to develop more effective event-based space imaging systems and advance the capabilities of event-based tracking systems with improved target measurement models.Moreover,for event measurements to be meaningful,a framework must be investigated for EBC calibration to project events from pixel array coordinates in the image plane to coordinates in a target resident space object’s reference frame.In this paper,the traditional techniques of conventional astronomy are reconsidered to properly utilise the EBC for space imaging and space situational awareness.This paper presents the techniques and systems used for calibrating an EBC for reliable and accurate measurement acquisition.These techniques are vital in building event-based space imaging systems capable of real-world space situational awareness tasks.By calibrating sources detected using the EBC,the spatiotemporal characteristics of detected sources or“event sources”can be related to the photometric characteristics of the underlying astrophysical objects.Finally,these characteristics are analysed to establish a foundation for principled processing and observing techniques which appropriately exploit the capabilities of the EBC.
作者简介
Nicholas Owen Ralph received his B.Eng.(Hons.)degree in mechatronics in 2017,his M.Res.degree in engineering in 2019,and has submitted his Ph.D.thesis in neuromorphic engineering.He is currently a postdoctoral research fellow in neuromorphic space imaging at the International Center for Neuromorphic Systems,MARCS Institute for Brain,Behavior,and Development at Western Sydney University,Australia.He is focusing on the development of neuromorphic approaches to space-domain awareness,astronomy,and machine learning.E-mail:N.Ralph@westernsydney.edu.au;Alexandre Marcireau received his M.Sc.(Eng.)degree in computer science from Ecole Centrale,France,in 2015 and his Ph.D.degree in neuromorphic engineering from Sorbonne Universit e,France,in 2019.He is currently a postdoctoral research fellow in neuromorphic engineering and space applications at the International Center for Neuromorphic Systems(ICNS),Western Sydney University,Australia.His research focuses on bioinspired computer vision,event vision sensors,event-based processing,and software development.E-mail:A.Marcireau@westernsydney.edu.cn;Saeed Afshar completed his B.Sc.(Eng.)degree in 2014 and M.Sc.(Eng.)degree in 2016 at the University of New South Wales,Australia,and his Ph.D.degree in neuromorphic engineering at Western Sydney University,Australia,in 2020.His research focuses on the investigation of computational architectures and algorithms in the fields of neuroscience,machine learning,signal processing,and circuit design for developing novel vision,memory,and auditory sensing and processing systems with superior performance in dynamic noisy environments compared with state-of-the-art conventional computing approaches.E-mail:S.Afshar@westernsydney.edu.au;Nicholas Tothill majored in natural sciences at Cambridge University.He received his M.Sc.degree in radioastronomy from the University of Manchester,UK,in 1995 and his Ph.D.degree in astrophysics from the University of London,UK,in 1999.He has held research positions in Antarctica,Australia,Canada,Germany,USA,and UK.He is currently a senior lecturer in the School of Science,Western Sydney University,Australia,where he teaches physics and astronomy.His research interests include radio-astronomical surveys of the interstellar medium of the Milky Way galaxy and novel optical instruments for small telescopes,including polarimetry and event-based sensing.E-mail:N.Tothill@westernsydney.edu.au;Andre van Schaik received his M.Sc.degree in electrical engineering from the University of Twente,Enschede,the Netherlands,in 1990 and his Ph.D.degree in electrical engineering from the Swiss Federal Institute of Technology(EPFL),Lausanne,Switzerland,in 1998.He has authored over 300 publications,obtained over 35 patents,and is the founder of three start-up companies(VAST Audio,Personal Audio,and Heard Systems).E-mail:A.vanSchaik@westernsydney.edu.au;Gregory Cohen received his B.Sc.(Eng.)degree in electrical and computer engineering,M.Sc.(Eng.)and B.Com.(Hons.)degrees in finance and portfolio management from the University of Cape Town,South Africa,in 2007,2008,and 2010,respectively.He received a joint Ph.D.degree in signal processing and neuromorphic engineering from Western Sydney University,Australia,and the University of Pierre and Marie Curie in Paris,France.Prior to returning to industry research,he worked in several start-ups and established engineering and consulting firms including as a consulting engineer in the field of large-scale HVAC from 2007 to 2009,an electronic design engineer from 2009 to 2011,and an expert consultant for the Kaiser Economic Development Practice in 2012.He is currently an associate professor in neuromorphic systems at the International Centre for Neuromorphic Systems at Western Sydney University and a program lead for neuromorphic algorithms and space applications.E-mail:G.Cohen@westernsydney.edu.au。
