SMART INSTRUMENTS FOR EARTH SCIENCE AND REMOTE EXPLORATION
I'm leading the TextureCam project to integrate automatic image analysis into a Field Programmable Gate Array. This will permit automatic image understanding by remote robotic explorers like spacecraft and planetary rovers. We aim to provide these robots the ability to identify basic science features so that they can make simple decisions about where to collect data and what to transmit to Earth. Image: automatic classification of Mars Exploration Rover image to find rocks. Original credit NASA/JPL.
- D. R. Thompson, D. Wettergreen, G. Foil, M. Furlong, R. Kiran. Spatio-spectral exploration combining in situ and remote measurements. Assoc. for the Advancement of Artificial Intelligence (AAAI) 2015.(Preprint PDF)
- D. Bekker, D. R. Thompson, W. J. Abbey, N. A. Cabrol., R. Francis, K. S. Manatt, K. Ortega, K. L. Wagstaff. A Field Demonstration of an Instrument Performing Automatic Classification of Geologic Surfaces. Astrobiology 14(6): 2014, 486-501. (Preprint PDF)
- D. R. Thompson, Robert O. Green, Didier Keymeulen, Sarah Lundeen, Yasha Mouradi , Rebecca Castano, Steve A. Chien, Rapid spectral cloud screening onboard aircraft and spacecraft. IEEE Transactions on Geoscience and Remote Sensing, 2014 (accepted) (Preprint PDF).
- K. L. Wagstaff, D. R. Thompson, W. Abbey, A. Allwood, D. L. Bekker, N. A. Cabrol, T. Fuchs, and K. Ortega. Smart, texture-sensitive instrument classification for in situ rock and layer analysis. Geophysical Research Letters, vol. 40, 2013.
- D. R. Thompson, A. Allwood, C. Assad, D. Flannery, R. Hodyss, E. Knowles, L. Wade. Adaptive Sampling for Rover X-Ray Lithochemistry. Proceedings of the International Symposium on Artificial Intelligence, Robotics and Automation in Space, Montreal, Quebec, 2014 (PDF).
AIRBORNE IMAGING SPECTROSCOPY
Lately I have been conducting a variety of different experiments with NASA's newest airborne imaging spectrometer, AVIRIS "Next Generation" (AVIRIS-NG). We have been building the science data pipeline to take us the way from raw instrument data up through refined reflectance and atmospheric analyses. In addition, we're porting various aspects of this system to real-time deployments that will function onboard the aircraft and provide immediate, tactical science analyses to pilots and operations teams.
- D. R. Thompson, Robert O. Green, Didier Keymeulen, Sarah Lundeen, Yasha Mouradi , Rebecca Castano, Steve A. Chien, Rapid spectral cloud screening onboard aircraft and spacecraft. IEEE Transactions on Geoscience and Remote Sensing, Vol. 52 (11), 2014 (Preprint PDF).
- D. R. Thompson, M. de la Torre Juarez, C. M. Barker, J. Holeman, S. Lundeen, S. Mulligan, T. H. Painter, E. Podest, F. C. Seidel, E. Ustinov. Airborne imaging spectroscopy to monitor the evolution of urban mosquito microhabitats. Remote Sensing of Environment, Vol. 137, Oct. 2013. (Preprint PDF)
- D. R. Thompson, L. Mandrake, R. O. Green, S. Chien, A Case Study of Subpixel Target Detection in Multimodal and Outlier-contaminated Scenes IEEE Geoscience and Remote Sensing Letters. (Preprint PDF)
NEXT-GENERATION MISSION OPERATIONS FOR PRIMITIVE BODIES
Future primitive body exploration missions may need to revise trajectories and observation plans to quickly characterize the target for safe, effective observations. However, light time delays for communication with Earth may be tens of minutes to hours. When appropriate, time-critical decisions could be automated and shifted to the spacecraft for immediate access to instrument data. Mirrored planning systems on both sides of the light-time gap permit fluid transfer of authority as needed. Image: automatic detection of Hartley 2 comet plumes. Original image credit: NASA/JPL/UMD.
- K. L. Wagstaff, D. R. Thompson, B. Bue, T. Fuchs. Autonomous Real-time Detection of Plumes and Jets from Moons and Comets. The Astrophysical Journal (in press), 2014.
- D. R. Thompson, M. Bunte, R. Castano, S. Chien, R. Greeley. Image Processig Onboard Spacecraft for Autonomous Plume Detection. Planetary and Space Science Vol. 62, 2012. p. 153-159.(PDF)
- D. R. Thompson, J. C. Castillo-Rogez, S. A. Chien, R. Doyle, T. Estlin, D. Mclaren. Agile Science Operations: A New Approach for Primitive Bodies Exploration. SpaceOps, 2012. Stockholm.
- D. R. Thompson, S. Chien, D. Tran, M. Bunte, R. Greeley. Autonomous Onboard Science Data Analysis for Comet Missions. i-SAIRAS 2012. (PDF)
REAL TIME DATA MINING FOR PETASCALE SCIENCE INSTRUMENTS
New radio astronomy instruments like the Square Kilometre Array (SKA) will generate petabyte data volumes. These investigations would benefit from real time anomaly detection and data mining to identify key features of interest. We're currently investigating adaptive resource allocation strategies and cost-sensitive computing to identify transient radio sources in radio astronomy data.
- K. Wagstaff, N. Lanza, D. R. Thompson, T. Dietterich and M. Gilmore. Guiding Scientific Discovery with Explanations. Assoc. for the Advancement of Artificial Intelligence (AAAI) 2013.
- C. Trott., S. J. Tingay, R. B. Wayth, D. R. Thompson, A. T. Deller, W. F. Brisken, K. L. Wagstaff, W. A. Majid, S. Burke-Spolaor, J-P R. Macquart, D. Palaniswamy. A framework for interpreting fast radio transient search experiments: application to the V-FASTR experiment. The Astrophysical Journal 2013 (in press) (preprint PDF)
- D. R. Thompson, W. F. Brisken, A. T. Deller, W. A. Majid, S. Burke-Spolaor, S. J. Tingay, K. L. Wagstaff, and Randall B. Wayth. Real time adaptive event detection in astronomical data streams: lessons from the Very Long Baseline Array. IEEE Intelligent Systems 2013 (in press).(Preprint PDF)
- R. Wayth, S. J. Tingay, A. Deller, W. F. Brisken, D. R. Thompson, K. Wagstaff, and W. Majid. Limits on the event rates of fast radio transients from the V-FASTR experiment. The Astrophysical Journal Letters 753:L36 2012.(PDF)
Statistical models of the environment can tell explorer robots where to travel, what samples to collect and what data to return to scientists. Much of my work aims to ground autonomous science decisions by remote explorers in formal principles of information theory, active learning and experimental design.
- D. R. Thompson, N. A. Cabrol, M. Furlong, C. Hardgrove, B. K. H. Low, J. Moersch, D. S. Wettergreen. Adaptive Sensing of Time Series with Application to Remote Exploration. International Conference on Robotics and Automation, 2013 (PDF).
- B. K. H. Low, J. Chien, J. Dolan, S. Chien, D. R. Thompson. Decentralized Active Robotic Exploration and Mapping for Probabilistic Field Classification in Environmental Sensing. The Eleventh International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2012.
- D. R. Thompson, D. Wettergreen, and F. Calderon P. Autonomous Science for Large-Scale Robotic Survey.Journal of Field Robotics, Vol. 28, No. 4, July/Aug 2011.(PDF)
AUTOMATIC SPECTRAL ANALYSIS FOR PLANETARY REMOTE SENSING
Much of my work involves data mining on spectral data to automatically draft maps and characterize science phenomena. This is particularly useful for remote robotic explorers. Image courtesy NASA/JPL.
- D. R. Thompson, B. Bornstein, S. Chien, S. Schafffer, D. Tran, B. Bue, R. Castano, D. Gleeson, A. Noell, Autonomous Spectral Discovery and Mapping onboard the EO-1 Spacecraft. IEEE Transactions on Geoscience and Remote Sensing , Vol. 51 No. 6, June 2013. (Preprint PDF)
- M. Gilmore, D. R. Thompson, L. J. Anderson, N. Karamzadeh, L. Mandrake, R. Castano. Superpixel segmentation for analysis of hyperspectral datasets, with application to CRISM data, M3 data and Ariadnes Chaos, Mars. Journal of Geophysical Research, Vol. 116, E07001, 2011.
- D. R. Thompson, L. Mandrake, M. S. Gilmore and R. Castano, Superpixel Endmember Detection. Transactions on Geoscience and Remote Sensing, 48(11): 4023-4033, Nov. 2010.
20TH CENTURY CHAMBER MUSIC
A relatively new music craze. I'm a big fan of the French Impressionists (Ravel, Debussy) although I've recently investigated some more modern stuff. Bartok's string quartets are my all-time favorite.