UC Research Profile - University of Canterbury

Associate Professor Stephen John Weddell

Contact

Department: Electrical and Computer Engineering

Email: steve.weddell@canterbury.ac.nz

Direct Dial: +64 3 3694419

Office: Link Rm 305

Language: English

I use machine learning in two specific fields of research: neuroengineering and adaptive optics. Our CDA website details other areas of our research.

About

Research / Creative works

Networks

Projects

Fields of Research

Adaptive optics
Space situational awareness
Wavefront sensing
Machine intelligence
Predictive control

Researcher Summary

Research interests include:
-Embedded Systems - Control
-Digital Signal Processing - Imaging and Control, Applications
-Machine learning for prediction and classification
-Heterogeneous computer systems architecture
-Systolic computer architectures
-Digital signal and digital image processing

Subject Area: Disciplines

Engineering and Technology: Computer & Software Engineering ; Electrical Engineering ; Optical & Laser Engineering ; Signal and Image Processing ; Simulation, Control and Computer Modelling

Resources

IMG_9959-2.jpg

Prizes and Awards

Senior visiting Fellow at the University of New South Wales Canberra ( 2020 - 2023)

Research/Scholarly/Creative Works

Journal Articles

Clare R., Weddell S. and Le Louarn M. (2020) Mitigation of truncation effects in elongated Shack-Hartmann laser guide star wavefront sensor images. Applied Optics 59: 6431-6442. http://dx.doi.org/10.1364/AO.394751.

Mariappan A., Kumar VRS., Weddell S. and Muruganandan VA. (2020) Theoretical studies on space debris recycling and energy conversion system in the International Space Station. Wiley Engineering Reports ENG212317: 1-12. http://dx.doi.org/10.1002/eng2.12317.

Pike MD., Bose SK., Mallinson JB., Acharya SK., Shirai S., Galli E., Weddell SJ., Bones PJ., Arnold MD. and Brown SA. (2020) Atomic scale dynamics drive brain-like avalanches in percolating nanostructured networks. Nano Letters 20(5): 3935-3942. http://dx.doi.org/10.1021/acs.nanolett.0c01096.

Weddell S., Ayyagari S. and Jones R. (2020) Reservoir Computing Approaches to Microsleep Detection. Journal of Neural Engineering JNE-103634.R2.

Baseer Buriro A., Shoorangiz R., Weddell SJ. and Jones RD. (2018) Predicting microsleep states using EEG inter-channel relationships. IEEE Transactions on Neural Systems and Rehabilitation Engineering 26(12): 2260-2269. http://dx.doi.org/10.1109/TNSRE.2018.2878587.

Buriro AB., Shoorangiz R., Weddell SJ. and Jones RD. (2018) Ensemble learning based on overlapping clusters of subjects to predict microsleep states from EEG. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2018-July: 3036-3039. http://dx.doi.org/10.1109/EMBC.2018.8512962.

Peimankar A., Weddell SJ., Jalal T. and Lapthorn A. (2018) Multi-objective ensemble forecasting with an application to power transformers. Applied Soft Computing 68: 233-248. http://dx.doi.org/10.1016/j.asoc.2018.03.042.

Weddell SJ. and Bones P. (2018) Wavefront prediction with reservoir computing for minimizing the effects of angular anisoplanatism. Applied Optics 57(25): 7140-7151. http://dx.doi.org/10.1364/AO.57.007140.

Weddell SJ. and Bones PJ. (2018) Wavefront prediction with reservoir computing for minimizing the effects of angular anisoplanatism. Applied Optics 57(25): 7140-7151. http://dx.doi.org/10.1364/AO.57.007140.

Knopp S., Bones P., Weddell SJ. and Jones R. (2017) A software framework for real-time multi-modal detection of microsleeps. Australasian Physical and Engineering Sciences in Medicine 40(3): 739-749. http://dx.doi.org/10.1007/s13246-017-0559-x.

Peimankar A., Weddell S., Jalal T. and Lapthorn AC. (2017) Evolutionary Multi-Objective Fault Diagnosis of Power Transformers. Swarm and Evolutionary Computation 36: 62-75. http://dx.doi.org/10.1016/j.swevo.2017.03.005.

Peimankar A., Weddell SJ., Jalal T. and Lapthorn AC. (2017) Evolutionary multi-objective fault diagnosis of power transformers. Swarm and Evolutionary Computation 36: 62-75. http://dx.doi.org/10.1016/j.swevo.2017.03.005.

Peimankar A., Weddell SJ., Jalal T. and Lapthorn AC. (2017) Evolutionary multi-objective fault diagnosis of power transformers. Swarm and Evolutionary Computation 36: 62-75. http://dx.doi.org/10.1016/j.swevo.2017.03.005.

Basavaraju RM., Akondi V., Weddell SJ. and Prasad Budihal R. (2014) Myopic aberrations: Simulation based comparison of curvature and Hartmann Shack wavefront sensors. Optics Communications 312: 23-30. http://dx.doi.org/10.1016/j.optcom.2013.09.004.

Gibson M., Markham C., Weston J., Jones R. and Weddell SJ. (2014) Brain-computer interface for thought controlled mobility. Australasian College of Physical Scientists and Engineers in Medicine 38(1): 173-202. http://dx.doi.org/10.1007/s13246-014-0324-3.

Palmer A., Weddell S. and Jones R. (2014) A Comparison of feature ranking metrics for microsleep detection from the EEG. Australasian Physical & Engineering Sciences in Medicine 38(1): 173-202. http://dx.doi.org/10.1007/s13246-014-0324-3.

Weddell SJ. and Lambert AJ. (2014) Optical test-benches for multiple source wavefront propagation and spatiotemporal point-spread function emulation. Applied Optics 53(35): 8205-8215. http://dx.doi.org/10.1364/AO.53.008205.

Weddell SJ., Read T., Thaher M. and Takaoka T. (2013) Maximum subarray algorithms for use in astronomical imaging. Journal of Electronic Imaging 22(4) 043011: 8. http://dx.doi.org/10.1117/1.JEI.22.4.043011.

Weddell SJ. and Webb RY. (2008) Reservoir Computing for Prediction of the Spatially-Variant Point Spread Function. IEEE Journal of Selected Topics in Signal Processing 2(5): 624-634. http://dx.doi.org/10.1109/JSTSP.2008.2004218.

Conference Contributions - Published

Clare R., Engler B. and Weddell S.. (2020) Wavefront reconstruction with the cone sensor. In Lensen A (Eds). IEEE XploreIEEE. http://dx.doi.org/10.1109/IVCNZ51579.2020.9290735.

Clare R., Weddell S. and Le Louarn M.. (2020) Centroiding of Truncated Shack-Hartmann Laser Guide Star Images with Known Reference Images. In IEEE XploreIEEE. http://dx.doi.org/10.1109/IVCNZ48456.2019.8961005.

Hickman S., Muruganandan V., Weddell S. and Clare R.. (2020) Image Metrics for Deconvolution of Satellites in Low Earth Orbit. In Lensen A (Eds). IEEE Xplore http://dx.doi.org/10.1109/IVCNZ51579.2020.9290535.

Hickman S., Weddell S. and Clare R.. (2020) Image Correction with Curvature and Geometric Wavefront Sensors in Simulation and On-sky. In IEEE XploreIEEE. http://dx.doi.org/10.1109/IVCNZ48456.2019.8961022.

Hickman S., Weddell S. and Clare R.. (2020) Test bench demonstration of the geometric wavefront sensor. In Proceedings of SPIE - The International Society for Optical Engineering 11448 http://dx.doi.org/10.1117/12.2561166.

Liu J., Muruganandan V., Clare R., Ramırez Trujillo M. and Weddell S.. (2020) A Tip-Tilt Mirror Control System for Partial Image Correction at UC Mount John Observatory. In Lensen A (Eds). IEEE XploreIEEE. http://dx.doi.org/10.1109/IVCNZ51579.2020.9290543.

Liu Y., Li X., Xue Y., Weddell S., Yang L. and Mihaylova L.. (2020) Outlier-Robust Schmidt-Kalman Filter using Variational Inference. In de Villiers P; de Waal A; Gustafsson F (Eds). IEEE eXpressIEEE.

Taghiniajelodari P., Muruganandan V., Weddell S. and Clare R.. (2020) A Wavefront Sensorless Tip/Tilt Removal method for Correcting Astronomical Images. In Lensen A (Eds). IEEE XploreIEEE. http://dx.doi.org/10.1109/IVCNZ51579.2020.9290688.

Engler B., Le Louarn M., Vérinaud C., Weddell S. and Clare R.. (2019) Pyramid wavefront sensing in the presence of thick spiders. In AO4ELT 2019 - Proceedings 6th Adaptive Optics for Extremely Large Telescopes.

Engler B., Le Louarn M., Verinaud C., Weddell S. and Clare R.. (2019) Pyramid wavefront sensing in the presence of thick spiders. In http://ao4elt6.copl.ulaval.ca/proceedings.html.

Engler B., Weddell S. and Clare R.. (2019) A Digital Prism Wavefront Sensor for Ground-based Astronomical Image Correction. In Proceedings - IVCNZ 2018 http://dx.doi.org/10.1109/IVCNZ.2018.8634797.

Engler B., Weddell S. and Clare R.. (2019) A digital prism-based wavefront sensor testbench. In AO4ELT 2019 - Proceedings 6th Adaptive Optics for Extremely Large Telescopes.

Engler B., Weddell S. and Clare R.. (2019) A Digital Prism-based Wavefront Sensor Testbench. In http://ao4elt6.copl.ulaval.ca/proceedings.html.

Krishnamoorthy V., Shoorangiz R., Weddell S., Beckert L. and Jones R.. (2019) Deep Learning with Convolutional Neural Network for detecting microsleep states from EEG: A comparison between the oversampling technique and cost-based learning. In IEEE Xplore.

Li X., Liu Y., Mihaylova L., Yang L., Weddell S. and Guo F.. (2019) Enhanced GPB2 Filtering with Variational Inference. In Proceedings of 22nd International Conference on Information Fusion.

Li X., Liu Y., Mihaylova L., Yang L., Weddell S. and Guo F.. (2019) Enhanced Multiple Model GPB2 Filtering Using Variational Inference. In FUSION 2019 - 22nd International Conference on Information Fusion.

Mariappan A., Kumar S., Weddell S., Jeung I-S. and Muruganandan VA.. (2019) A Conceptual Method to Recycle Space Debris into Fuels and Artificial Soil in the ISS for various Applications. In http://dx.doi.org/10.2514/6.2019-4157.

Shoorangiz R., Buriro A., Weddell S. and Jones R.. (2019) Detection and prediction of microsleeps from EEG using spatio-temporal patterns. In IEEE XploreIEEE.

Weddell S., Clare R. and Lambert A.. (2019) Near Earth Object Image Restoration with Multi-Object Adaptive Optics. In T F; R J; F S (Eds). Proceedings: 9. ESA Space Safety Programme Office.

Weddell S., Clare R., Muruganandan V. and Lambert A.. (2019) A Hybrid Adaptive Optics System for Space Situational Awareness. In Vdovin G (Eds). The XII International Workshop on the Adaptive Optics in Industry and Medicine.

Engler B., Weddell S., Le Louarn M. and Clare R.. (2018) Effects of the telescope spider on extreme adaptive optics systems with pyramid wavefront sensors. In Proceedings of SPIE 10703Society of Photo-optical Instrumentation Engineers. http://dx.doi.org/10.1117/12.2310050.

Pal S., Clare R., Lambert A. and Weddell S.. (2018) Slope-based wavefront sensor optimisation with multi-resolution analysis. In Proceedings of SPIE 10703Society of Photo-optical Instrumentation Engineers. http://dx.doi.org/10.1117/12.2312260.

Baseer A., Weddell SJ. and Jones RD.. (2017) Prediction of microsleeps using pairwise joint entropy and mutual information between EEG channels. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS: 4495-4498. http://dx.doi.org/10.1109/EMBC.2017.8037855.

Clare RM., Engler B., Weddell S., Shatokhina I., Obereder A. and Le Louarn M.. (2017) Numerical evaluation of pyramid type sensors for extreme adaptive optics for the European Extremely Large Telescope. In Montilla I (Eds). http://dx.doi.org/10.26698/AO4ELT5.0011.

Engler B., Weddell S. and Clare RM.. (2017) Wavefront Sensing with Prisms for Astronomical Imaging with Adaptive Optics. In IEEE. http://dx.doi.org/10.1109/IVCNZ.2017.8402471.

Pal S., Lambert A. and Weddell SJ.. (2017) Practical application of the geometric wavefront sensor for adaptive optics. In IEEE Xplore: 1-5. IEEE Xplore. http://dx.doi.org/10.1109/IVCNZ.2016.7804427.

Pal S., Lambert A., Clare RM. and Weddell S.. (2017) Wavefront Sensor Optimisation with Ridgelets for Astronomical Image Restoration. In IEEE. http://dx.doi.org/10.1109/IVCNZ.2017.8402470.

Shoorangiz R., Weddell SJ. and Jones RD.. (2017) Bayesian multi-subject factor analysis to predict microsleeps from EEG power spectral features. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS: 4183-4186. http://dx.doi.org/10.1109/EMBC.2017.8037778.

Pal S., Lambert A. and Weddell S.. (2016) Practical application of the geometric wavefront sensor for adaptive optics. In.

Pal S., Lambert A. and Weddell SJ.. (2016) Comparison of Restoration Methods for Deconvolution From Wavefront Sensing (DWFS). In.

Peimankar A., Weddell SJ., Jalal T. and Lapthorn A.. (2016) Ensemble Classifier Selection Using Multi-Objective PSO for Fault Diagnosis of Power Transformers. In.

Peimankar A., Weddell SJ., Jalal T. and Lapthorn AC.. (2016) Ensemble Classifier Selection Using Multi-Objective PSO for Fault Diagnosis of Power Transformers. In Lapthorn AC (Eds). 2016 IEEE Congress on Evolutionary Computation (CEC).

Shoorangiz R., Weddell SJ. and Jones RD.. (2016) Prediction of microsleeps from EEG: Preliminary results. In.

Weddell SJ., Pal S. and Lambert A.. (2016) Curvature and Geometric Wavefront Sensor Sensitivity to Secondary Mirror Obscruation. In.

Arnal R., Jones RD. and Weddell SJ.. (2015) Multi-reference adaptive noise cancellation in the EEG. In The Australasian College of Physical Scientists & Engineers in Medicine 38(1): 195-196. http://dx.doi.org/10.1007/s13246-014-0324-3.

Ayyagari S., Jones RD. and Weddell S.. (2015) EEG-based microsleep detection using supervised learning. (Abstract). In Australasian Physical & Engineering Sciences in Medicine 38: 194-194.

Ayyagari S., Jones RD. and Weddell SJ.. (2015) EEG-based event detection using optimized echo state networks with leaky integrator neurons. In The Australasian College of Physical Scientists & Engineers in Medicine 38(1): 193-194. http://dx.doi.org/10.1007/s13246-014-0324-3.

Ayyagari S., Jones RD. and Weddell SJ.. (2015) EEG-based microsleep detection using supervised learning. In The Australasian College of Physical Scientists & Engineers in Medicine 38(1): 194-194. http://dx.doi.org/10.1007/s13246-014-0324-3.

Ayyagari SSDP., Jones RD. and Weddell SJ.. (2015) Optimized echo state networks with leaky integrator neurons for EEG-based microsleep detection. In EMBC 2015 Proceedings: 3775-3778. http://dx.doi.org/10.1109/EMBC.2015.7319215.

Gibson M., Harris B., Markham C., Weston J., Weddell S. and Jones R.. (2015) Brain-computer interface for thought controlled mobility. In Australasian Physical & Engineering Sciences in Medicine 38(1): 192-192.

LaRocco J., Innes C., Bones P., Weddell S. and Jones RD.. (2015) Optimal EEG feature selection from average distances between events and non-events. (Abstract). In Caon M (Eds). Australasian Physical & Engineering Sciences in Medicine 38(1): 194-195. 2015: Springer. http://dx.doi.org/10.1007/s13246-014-0324-3.

Motha J., Bainbridge-Smith A. and Weddell SJ.. (2015) Cryptographic Techniques in Redundant Number Systems. In.

Palmer A., Weddell SJ. and Jones RD.. (2015) A comparison of feature ranking metrics for microsleep detection from the EEG. (Abstract). In Australasian Physical & Engineering Sciences in Medicine 38: 191-192.

Ayyagari S., Jones RD. and Weddell SJ.. (2014) EEG-based event detection using optimized echo state networks with leaky integrator neurons. In EMBC 2014 Proceedings: 5856-5859. http://dx.doi.org/10.1109/EMBC.2014.6944960.

Frank K., Spearpoint M. and Weddell S.. (2014) Finding the Probability of Doors Being Open Using a Continuous Position Logger. In.

LaRocco J., Innes RH., Bones PJ., Weddell SJ. and Jones RD.. (2014) Optimal EEG feature selection from average distance between events and non-events. In EMBC 2014 Proceedings http://dx.doi.org/10.1109/EMBC.2014.6944165.

Roopashree MB., Vyas A., Weddell SJ. and Prasad R.. (2014) Investigation of Hartmann Shack and curvature sensors in quantifying aberrations of the myopic eye. In EMVPO 2012: 169-170. Hannover: European Optical Society.

Weddell SJ., Bones PJ. and Wareing NM.. (2014) A Remote Laboratory for learning embedded systems and control. In Palmerston North: School of Engineering and Advanced Technology.

Arnal R., Jones RD. and Weddell SJ.. (2013) Electroencephalogram noise cancellation with reservoir computing. In ENZCon 2013 Conference Proceedings: 100-105.

Glass I., Bones PJ., Weddell SJ., Butler A. and Butler P.. (2013) Physiological gating of the MARS spectral CT scanner and validation of artefact correction by proximity measure. In : 317-322.

Glass I., Butler APH., Butler PH., Bones PJ. and Weddell SJ.. (2013) Physiological gating of the MARS spectral micro CT scanner. In International Conference Image and Vision Computing New Zealand: 317-322. http://dx.doi.org/10.1109/IVCNZ.2013.6727036.

Keith T. and Weddell SJ.. (2013) The Echo State Network on the Graphics Processing Unit. In Lecture Notes in Computer Science 7894: 96-107. http://dx.doi.org/10.1007/978-3-642-38658-9_9.

Knopp S., Bones P., Weddell S., Innes C. and Jones R.. (2013) A wearable device for measuring eye dynamics in real-world conditions. In Proceedings EMBS2013: 6615-6618. http://dx.doi.org/10.1109/EMBC.2013.6611072.

Knopp SJ., Bones PJ., Weddell SJ., Innes CRH. and Jones RD.. (2013) A wearable device for measuring eye dynamics in real-world conditions. In 35: 6615-6618.

Wareing NM., Bones PJ. and Weddell SJ.. (2013) A remote lab implementation using SAHARA. In ENZCon Conference Proceedings: 51-56.

Kandasamy A., Jones RD. and Weddell SJ.. (2012) Adaptive noise cancellation for the electroencephalogram. In 19: 151-156.

Keith T., Weddell SJ. and Van Cutsem T.. (2012) GPU Implementation of an Echo State Network for Optical Wavefront Prediction. In.

Knopp SJ., Bones PJ., Weddell SJ., Innes CRH. and Jones RD.. (2012) A miniature head-mounted camera for measuring eye closure. In ACM International Conference Proceeding Series: 313-318. http://dx.doi.org/10.1145/2425836.2425898.

Weddell SJ., Takaoka T., Read T. and Candy R.. (2012) Maximum subarray algorithms for use in optical and radio astronomy. In http://dx.doi.org/10.1117/12.928318.

Hartley NJ. and Weddell SJ.. (2011) An Artificial Neural Network to Detect Audio Sequences. In Proceedings of the 18th Electronics New Zealand Conference: 39-44.

Niv E. and Weddell SJ.. (2011) A Comparative Study of Random Hidden Node Networks for Pattern Recognition. In.

Pearson R., Jordan J., Falloon M., Duncan S., Read T., Irani Y. and Weddell S.. (2011) Parallelism of an MCU on an FPGA. In Proceedings: 133-138.

Weddell SJ., Webb RY. and Bones P.. (2011) Simulating wide-field optical wavefront propagation through single-layer turbulence. In Applications of Lasers for Sensing and Free Space Communications.

Weddell SJ., Webb RY. and Bones PJ.. (2011) Simulating wide-field optical wavefront propagation through single-layer turbulence. In Optics InfoBase Conference Papers.

Weddell SJ., Webb RY. and Bones PJ.. (2011) Simulating wide-field optical wavefront propagation through single-layer turbulence. In Optics InfoBase Conference Papers.

Bainbridge-Smith A., Bones PJ., Butler A., Green R., Gough PT., Hann CE., Hayes MP., Millane RP., Mukundan R. and Watts R.. (2010) Computational Image Processing at the University of Canterbury. In.

Weddell SJ. and Howe JR.. (2010) An optical testbench and atmospheric turbulence emulator for astronomical image restoration. In.

Weddell SJ. and Webb RY.. (2008) The Restoration of Extended Astronomical Images using the Spatially-Variant Point Spread Function. In Proceedings Image and Vision Computing New Zealand 2008: 6pp. http://dx.doi.org/10.1109/IVCNZ.2008.4762100.

Mehrotra P. and Weddell SJ.. (2007) Hardware Implementation of a Multi-Layer Perceptron Circuit. In Proceedings of the Fourteenth Electronics New Zealand Conference (ENZCon 2007): 183-188.

Tiong RYT. and Weddell SJ.. (2007) A Hot-Air Turbulence Generator for Optical Testbenches. In Proceedings of the Fourteenth Electronics New Zealand Conference (ENZCon 2007): 71-76.

Weddell SJ. and Webb RY.. (2007) A Neural Network Architecture for Reconstruction of Turbulence Degraded Point Spread Functions. In Proceedings of Image and Vision Computing New Zealand (IVCNZ 2007): 103-108.

Weddell SJ. and Langford BN.. (2006) Hardware implementation of the maximum subarray algorithm for centroid estimation. In Proceedings Image and Vision Computing Conference New Zealand 2006: 511-515.

Weddell SJ. and Webb RY.. (2006) Dynamic Artificial Neural Networks for Centroid Prediction in Astronomy. In Proceedings of HIS'06: 68. http://dx.doi.org/10.1109/HIS.2006.264951.

Zhang H. and Weddell SJ.. (2006) Approaching object detector for bikes: The Bike Mate. In Proceedings of the Thirteenth Electronics New Zealand Conference ENZCon'06: 104-109.

Tsai T. and Weddell SJ.. (2005) Machine Learning for Home Security Systems. In.

Vincent HJM., Stowers JR., Weddell SJ. and Bainbridge-Smith A.. (2005) Practical Considerations for Implementation of an Unmanned Aerial Vehicle (UAV). In.

Weddell SJ. and Webb RY.. (2005) Data Preprocessing on Sequential Data for Improved Astronomical Imaging. In : 6pp.

Weddell SJ.. (2004) New Courses in Embedded Systems for Computer Science. In.

Theses / Dissertations

Weddell SJ. (2010) Optical Wavefront Prediction with Reservoir Computing. Christchurch, New Zealand. University of Canterbury.

Reports

Weddell SJ. (2005) An Embedded Synchronisation Module for Enhanced Imaging.Internal Report - UC Dept of Physics & Astronomy. Commissioned by Associate Professor Peter Cottrell.

Design output

Weddell SJ. (2004) Hardware Implementation of the Bright Spot Algorithm (BSA). [Software written in VHDL].

Chapters

Shoorangiz R., Weddell S. and Jones R. (2020) EEG-based machine learning: Theory and applications. In Thakor N (Ed.), Springer Handbook of NeuroengineeringSpringer.

Review and Refereeing

Applied Optics ( 2014 - 2021)

IEEE Transactions on Neural Networks and Learning Systems ( 2012 - 2021)

IEEE Transactions on Neural Systems and Rehabilitation Engineering ( 2017 - 2021)

International Conference on Electrical Control and Computer Engineering ( 2011 )

Journal of Modern Optics ( 2015 - 2021)

Journal of the Optical Society of America ( 2012 - 2021)

Journal of the Optical Society of America A: Optics, Image Science and Vision ( 2016 - 2021)

Optics Letters ( 2014 - 2021)

Affiliations

IEEE (Professional Organisation): Member, (MIEEE)
International Society for Optical Engineering (SPIE) (Professional Organisation): Member, (MSPIE)
Royal Society of New Zealand (RSNZ) (Professional Organisation): Member, (MRSNZ)

Research Groups

Research Projects

PhD. Scholarship available (Marsden funded) High-Resolution Imaging of Near-Earth Objects and Space Debris: Real-Time Atmospheric Tomographic Signal Processing