Christopher F. Barnes, Ph.D.

Title: 
Associate Professor, Electrical and Computer Engineering
Phone: 
(912) 966-7927
Mobile: 
(912) 312-0583
Fax: 
(912) 966-7928
Building-Room: 
PARB 215
Education: 
  • Ph.D. 1989 Brigham Young University, Electrical Engineering: Digital Signal Processing
  • M.S. 1987 Brigham Young University, Electrical Engineering: Communication Theory
  • B.S. 1985 Brigham Young University, Electrical Engineering: Electronics
Research Interests: 
  • Image-enabled and video-enabled data mining
  • Image and video data compression
  • Signal processing for ground-based and ship-based radars
  • Synthetic aperture radar signal processing
  • Remote sensing informatics
Biography: 

Dr. Barnes and graduate student members of his research teams pursue research in the areas of image and video-driven data mining with applications in medical imaging, remote sensing, genomics, and in mobile telecommunications/multimedia applications. Some of these teams are making advances in synthetic aperture image formation algorithms. His research teams have focused on direct sum successive approximation signal processing structures. These research activities have expanded the frontiers of residual vector quantization and power- and bandwidth-constrained communications. This research is both theoretical and applied, with proven applications in areas of data compression, communications, and pattern recognition. Channel coding duals of direct sum structures are leading into research areas of a group theory description of lattice-like structures that retain all significant group properties, but where a closure constraint is relaxed: enabling increased power efficiency in bandlimited communications. Using the theoretical foundation of direct sum successive approximation source coding, Dr. Barnes’ research teams are also working in the areas of pattern recognition, database management system engineering and human-system interfaces. Dr. Barnes has acquired funding to develop applications of this technology in the areas of medical imaging and remote sensing. Dr. Barnes, working with Ph.D. candidate Jehanzeb Burki, has pushed the state-of-the-art in SAR image formation processing by developing an interpolation-free OMEGA-K SAR algorithm. The research philosophy of Dr. Barnes and his research team members is to work jointly with others in cross-disciplines to solve challenging, multi-faceted, basic and applied problems.

Honors and Awards:

  • Georgia Tech’s George Riley Outstanding Professional Education Award, 2009.
  • Interdisciplinary Research Initiative Award, Georgia Tech Savannah, 2006.
  • Certificate of Appreciation, Ground-Based Midcourse Defense Joint Program Office, Ballistic Missile Defense Organization, Department of Defense, 2002.
  • Who’s Who in Science and Engineering, 1998.
  • IEEE Donald G. Fink Award, Nominated 1997.
  • NASA Group Achievement Award, 1993.
  • Outstanding Young Men of America, Nominated 1983.
  • Phi Kappa Phi, 1989.
  • Sigma Xi, 1988.
  • Eta Kappa Nu, Zeta Eta Chapter President, 1986-1987.
  • Eta Kappa Nu, 1986.
  • Phi Eta Sigma, 1983.  

Refereed Journal Publications:

  • Barnes, C. F. and Frost, R. L., “Residual vector quantizers with jointly optimized codebooks,” Advances in Electronics and Electron Physics, volume 84, pages 1-59, Academic Press, 1992.
  • Barnes, C. F. and Frost, R. L., “Vector quantizers with direct sum codebooks,” IEEE Transactions on Information Theory, volume 39, number 2, pages 565-580, March 1993.
  • Barnes, C. F., “Tree structured signal space codes,” DIMACS Series in Discrete Mathematics and Theoretical Computer Science, volume 14, pages 33-53, American Mathematical Society, 1993.
  • Kossentini, F., Smith, M.J.T. and Barnes, C.F., “Finite-state residual vector quantization,” Journal of Visual Communications and Image Representation, volume 5, number 1, pages 75-78, January 1994.
  • Kossentini, F., Smith, M.J.T. and Barnes, C.F., “Image coding using entropy-constrained residual vector quantization,” IEEE Transactions on Image Processing, volume 4, number 10, pages 1349-1357, October 1995.
  • Kossentini, F., Smith, M.J.T. and Barnes, C.F., “Necessary conditions for the optimality of variable rate residual vector quantization,” IEEE Transactions on Information Theory, volume 41, number 6, part 2, pages 1903-1914, November 1995.
  • Barnes, C.F., Rizvi, S.A. and Nasrabadi, N.M., “Advances in residual vector quantization: a review,” invited paper, IEEE Transactions on Image Processing, volume 5, number 2, pages 226-262, February 1996.
  • Zaidan, M.Y., Barnes, C.F. and Wicker, S.B., “Use of sigma-trees as constellations in trellis-coded modulation,” IEEE Transactions on Information Theory, volume 43, number 6, pages 2005-2012, November 1997.
  • Barnes, C.F. and Burki, J., “Late-season rural land-cover estimation with polarmetric-SAR intensity pixel blocks and sigma-tree structured near neighbor classifiers,” IEEE Transactions on Geoscience and Remote Sensing, volume 44, number 9, pages 2384-2392, September 2006.
  • 10.Mohammed, R. and Barnes, C. F., “Vector quantization in SPIHT image codec,” Lecture Notes in Computer Science: Advances in Image and Video Technology, volume 4319, pages 742-750, Springer, 2006.
  • 11.Barnes, C.F., Fritz, H., and Yoo, J., “Hurricane disaster assessments with image driven data mining in high resolution satellite imagery,” IEEE Transactions on Geoscience and Remote Sensing: Special Issue on Remote Sensing for Major Disaster Prevention, Monitoring and Assessment, part 1 of 2, volume 45, number 6, pages 1631-1640, June 2007.
  • 12.Barnes, C.F., “Image driven data mining for image content segmentation, classification and attribution,” IEEE Transactions on Geoscience and Remote Sensing, volume 45, number 9, pages 2964-2978, September 2007.
  • 13.Burki, J. and Barnes, C.F, “Slant plane CSAR processing using Householder transform,” IEEE Transactions on Image Processing, volume 17, number 10, pages 1900-1907, October 2008.
  • 14.Yoo, J., Fritz, H. M., Haas, K. A., Work, P. A. and Barnes, C. F., “Estimation of breaking wave celerity from oblique near shore video,” The Journal of Waterway, Port, Coastal and Ocean Engineering, (submitted 26 August 2009).
  • 15.Yoo, J., Fritz, H. M., Haas, K. A., Work, P. A. and Barnes, C. F., “Depth inversion in the surf zone with inclusion of wave nonlinearity using video-derived celerity,” ASCE’s Journal of Waterway, Port, Coastal and Ocean Engineering, March/April 2011.
  • 16.Barnes, C.F., “Volumetric-synthetic aperture radar,” IEEE Transactions on Geosciences and Remote Sensing, submitted February 2010 – under revision.

 Refereed Conference Publications:

  • Budge, S.E., Barnes, C.F., Talbot, L.M., Chabries, D.M. and Christiansen, R.W., “Image coding for data compression using a human visual model,” SPIE/SPSE Symposium on Electronic Imaging: Advanced Devices and Systems, volume 1077, pages 164-177, Los Angeles, CA, January 1989.
  • Barnes, C.F. and Frost, R.L., “Necessary conditions for the optimality of residual vector quantizers,” IEEE International Symposium on Information Theory, page 34, San Diego, CA, January 14-19, 1990.
  • Barnes, C.F., “Two-dimensional signal constellations for nonlinear coset codes based on multistage codes,” Proceedings of the Conference on Information Sciences and Systems, pages 129-138, Johns Hopkins University, Baltimore, MA, March 20-22, 1991.
  • Kossentini, F., Smith, M.J.T. and Barnes, C.F., “Residual VQ with state prediction: a new method for image coding,” SPIE/SPSE Symposium on Electronic Imaging: Science and Technology, volume 1452, pages 383-394, San Jose, CA, February 24 – March 1, 1991.
  • Frost, R.L., Barnes, C.F. and Xu, F., “On the design and performance of residual quantizers,” Proceedings of the Data Compression Conference, pages 129-138, Snowbird, UT, April 8-10, 1991.
  • Kossentini, F., Smith, M.J.T. and Barnes, C.F., “A perspective view of finite state binary residual VQ,” Proceedings of the International Symposium on Circuits and Systems, volume 1, pages 300-303, Singapore, June 11-14, 1991.
  • Kossentini, F., Smith, M.J.T. and Barnes, C.F., “Large block RVQ with multipath searching,” IEEE International Symposium on Circuits and Systems, volume 5, pages 2276-2279, San Diego, CA, January 20-21, 1992.
  • Barnes, C.F., “Direct sum signal constellations for coded modulation,” Proceedings of the Conference on Information Sciences and Systems, pages 300-306, Princeton University, NJ, March 18-20, 1992.
  • Kossentini, F., Smith, M.J.T. and Barnes, C.F., “Image coding with variable rate RVQ,” Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, volume III, pages 369-372, San Francisco, CA, March 23-26, 1992.
  • 10.Barnes, C.F. and Holder, E.J., “Classified variable rate residual vector quantization applied to image subband coding,” Proceedings of the Data Compression Conference, pages 272-281, Snowbird, UT, March 30 – April 3, 1993.
  • 11.Kossentini, F., Smith, M.J.T. and Barnes, C.F., “Entropy-constrained residual vector quantization,” Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, volume V, pages 598-601, Minneapolis, MN, April 27-30, 1993.
  • 12.Nathanson, F., Cassady, W., Barnes, C., Tuley, M., Williamson, F. and Moore, L., “Airborne clutter measurements,” Proceedings of the National Radar Conference, pages 60-65, Boston, MA, April 20-22, 1993.
  • 13.Barnes, C.F. and Sjoberg, E.S, “A comparative study of JPEG and residual VQ compression of radar imagery,” Proceedings of the National Telesystems Conference: Commercial Applications with Dual-Use Technology, pages 203-207, Atlanta, GA, June 16-17, 1993.
  • 14.Sjoberg, E.S. and Barnes, C.F., “Precision approach radar (PAR) remote operation feasibility study,” Proceedings of the National Telesystems Conference: Commercial Applications with Dual-Use Technology, pages 197-201, Atlanta, GA, June 16-17, 1993.
  • 15.Barnes, C.F and Holder, E.J., “Successive approximation vector quantization with generalized decoding for wavelet transform image coding,” invited paper to Proceedings of the Twenty-Seventh Annual Asilomar Conference on Signals, Systems, and Computers, volume 1, pages 533-537, Pacific Grove, CA, November 1-3, 1993.
  • 16.Barnes, C.F., “A new multiple path search technique for residual vector quantizers,” Proceedings of the Data Compression Conference, pages 42-51, Snowbird, UT, March 29-31, 1994.
  • 17.Barnes, C.F., “Vector quantization target identification,” invited paper to Proceedings of the 4thAnnual 1994 IEEE Dual-Use Technologies & Application Conference: Emerging Technologies-Transitioning Challenge to Commercial Applications, Utica/Rome, NY, May 23-26, 1994.
  • 18.Barnes, C.F., Goldstein, J.S., Ingram, M.A. and Holder, E.J., “Stochastic successive approximation quantization of image subbands,” NJIT Symposium: Applications of Subbands and Wavelets, Newark, NJ, March 18, 1994.
  • 19.Adeyemi, H.O. and Barnes, C.F., “Initial investigations into joint source/channel video coding for nonstationary channels with adaptable residual vector quantization,” Proceedings of the Twenty-Eighth Annual Asilomar Conference on Signals, Systems, and Computers, pages 482-486, Pacific Grove, CA, November 1-3,1994.
  • 20.Barnes, C.F., “Adaptive successive approximation quantization of image waveforms with efficient codebook updates,” Proceedings of the IEEE International Conference on Image Processing, volume III, pages 876-880, Austin, TX, November 13-16, 1994.
  • 21.Barnes, C.F., “Embedded wavelet zero-tree coding with direct sum quantizer structures,” Proceedings of the Data Compression Conference, pages 252-261, Snowbird, UT, March 28-30, 1995.
  • 22.Zaidan, M.Y., Barnes, C.F. and Wicker, S.B., “Applications of TCM with sigma-tree constellations over the AWGN channel,” in Abstracts of the IEEE International
  • Symposium on Information Theory, page 185, Whistler, British Columbia, Canada, September 17-22, 1995.
  • 23.Biega, M.J., Goldstein, J.S., Wall, J.A. and Barnes, C.F., “Adaptive subband decompositions of imagery,” Proceedings of the IEEE Dual-Use Technologies & Application Conference, Utica/Rome, NY, May 12, 1995.
  • 24.Barnes, C.F., “Seamine detection with a nearest neighbor classifier based on residual vector quantization,” Proceedings of the SPIE International Symposium on Aerospace/Defense Sensing and Controls: Detection and Remediation Technologies for Mines and Mine-Like Targets I, volume 2765, pages 167-178, Orlando, FL, April 8-12, 1996.
  • 25.Partizian, A.A., Barnes, C.F., Maier, R.A., Piper, S.O., Smith, M.H. and Kastle, T.A., “Airborne SAR electronic protection algorithms using adaptive image processing to counter coherent, ground-based jamming,” 42ndAnnual TriService Radar Symposium Record (classified), Monterey, CA, June 24-27, 1996.
  • 26.Barnes, C.F., “Object detection with a nearest neighbor classifier based on residual vector quantization,” Terrorism and Counterterrorism Methods and Technologies: SPIE Symposium on Enabling Technologies for Law Enforcement and Security, Boston, MA, November 19-21, 1996.
  • 27.Barnes, C.F., “Fast search nearest neighbor classification based on structured templates,” Proceedings of the SPIE International Symposium on Aerospace/Defense Sensing and Controls: Detection and Remediation Technologies for Mines and Mine-Like Targets II, volume 3079, pages 60-70, Orlando, FL, April 21-24, 1997.
  • 28.Barnes, C.F., Keel, B.M., Richards, M.A., Sangston, K.J. and Moorefield, F.D., “A simple post range compression SAR electronic protection technique,” 43rdAnnual Tri-Service Radar Symposium Record (classified), Boulder, CO, June 24-27, 1997.
  • 29.Barnes, C. F., “Acoustic backscatter classification for mine detection using multiple fused aspects and novel database classification rules,” Proceedings of the SPIE International Symposium on Aerospace/Defense Sensing and Controls: Detection and Remediation Technologies for Mines and Mine-Like Targets III, volume 3392, pages 357-369, Orlando, FL, April 1998.
  • 30.Barnes, C.F., Hallenborg, P., Snehal, P. and Fisher, D., “Detection of mine and mine-like objects in forward looking sonar data with direct sum successive approximation templates,” Proceedings of the SPIE International Symposium on Aerospace/Defense Sensing and Controls: Detection and Remediation Technologies for Mines and Mine-Like Targets IV, volume 3710, pages 670-674, Orlando, FL, April 5-9,1999.
  • 31.Barnes, C.F., “Mammogram image data mining for diagnosis support: mammogram case studies,” BISTIC Symposium, National Institutes of Health, page 29, Washington, DC, November 2003.
  • 32.Barnes, C.F., “Successive approximation source coding and image enabled data mining,” Data Compression Conference, page 525, Snowbird, UT, March 23, 2004.
  • 33.Yoo, J., Barnes, C., Fritz, H., Haas, K. and Work, P., “Wave property estimation using linear feature extraction from near shore wave images,” 5th International Symposium on Ocean Wave Measurement and Analysis, Madrid, Spain, July 2-7, 2005.
  • 34.Fritz, H., Yoo, J., Haas, K., Work, P. and Barnes, C., “Particle image velocimetry applied to near-shore video wave images,” 5th International Symposium on Ocean Wave Measurement and Analysis, Madrid, Spain, July 3-7, 2005.
  • 35.Burki, J. and Barnes, C. F., “Interpolation-free algorithm for SAR 2D aperture synthesis,” SPIE Conference on SAR Algorithms, SPIE Symposium on Defense and Security Symposium, volume 6237, Orlando, FL, April 17-19, 2006.
  • 36.Burki, J. and Barnes, C. F., "Beam raster scanning 2D flyover SAR,” The Fourth IEEE Workshop on Sensor Array and Multi-channel Processing, pages 339-343, Waltham, MA, July 12-14, 2006.
  • 37.Yoo, J., Fritz, H., Haas, K. and Work, P., and Barnes, C., “Wave celerity estimation and depth inversion using linear feature extraction from near shore images,” ASCE Proceedings of the 30thInternational Conference on Coastal Engineering, San Diego, CA, September 2006.
  • 38.Mohammed, R. and Barnes, C. F., “Vector quantization in SPIHT image codec,” IEEE Pacific-Rim Symposium on Image and Video Technology, pages 742-750, Taiwan, December 11-13, 2006.
  • 39.Burki, J. and Barnes, C. F., "SAR 2D AS algorithm for modeling human vision,” IS&T/SPIE 19thAnnual Symposium: Electronic Imaging, volume 6492, San Jose, CA, January 28 – February 1, 2007.
  • 40.Burki, J. and Barnes, C. F., "SAR with two-dimensional aperture synthesis,” IEEE Radar Conference, Waltham, MA, pages 1418-1422, April 17-21, 2007.
  • 41.Burki, J. and Barnes, C. F., "Refocusing of defocused images using SAR^2 algorithm,” SPIE Symposium on Optical Engineering and Applications: Advanced Signal Processing Algorithms, Architectures, and Implementations XVII, San Diego, CA, August 26-30, 2007.
  • 42.Burki, J. and Barnes, C. F., “Fast CSAR algorithm,” Algorithms for Synthetic Aperture Radar Imagery XV, SPIE Symposium on Defense and Security Symposium, Orlando, FL, March 16-20, 2007.
  • 43.Aslam, S., Bobick, A., Barnes, C. F. and O. Sezer, “Better computer vision under video compression, an example using mean shift tracking,” IEEE International Conference on Image Processing 2009, Cairo, Egypt, November 7-11, 2009.
  • 44.Aslam, S., Bobick, A. and Barnes, C. F., “Compensation methods using signal processing and quantization for better mean shift tracking on compressed video,” International Conference on Image Processing, Computer Vision, and Pattern Recognition, Jul 13-16, 2009.
  • 45.Aslam, S., Bobick, A. and Barnes, C. F., “Robust surveillance on compressed video: uniform performance from high to low bitrates,” IEEE Conference on Advanced Video and Signal Based Surveillance, October 2009.
  • 46.Khan, I. A. and Barnes, C. F., “Object-specific feature extraction via Markov random fields derived from 0thorder sigma-tree segmentations,” ASPRS 2010, April 26-30, San Diego, California.
  • 47.Aslam, S., Bobick, A. and Barnes, C. F., “Robust real-time contour tracking on low quality aerial infra red imagery,” IGARSS 2010.
  • 48.Khan, I. A. and Barnes, C. F., “Markov random field-structured direct sum residual vector quantization for classification,” IEEE 5thInternational Conference of Future Technologies, Pusan, South Korea.
  • 49.Aslam, S., Barnes, C. F. and Bobick, A., “Video action recognition using residual vector quantization and hidden Markov models,” accepted IPCV 2010.
  • 50.Aslam, S., Barnes, C. F. and Bobick, A., “Multi-target video tracking using residual vector quantization,” accepted IPCV 2010.
  • 51.Aslam, S., Bobick, A. and Barnes, C. F., “Modeling the quantization staircase function,” Data Compression Conference, page 520, Snowbird, Utah, March, 2010.
  • 52.Khan, I. A. and Barnes, C. F., “Using residual vector quantization for image content classification,” ICASSP 2011, April 24, Prague, Czech Republic.

Other Publications:

  • “Learning from experience: new pattern recognition and detection technique may help radiologists analyze digital mammograms,” Georgia Tech Research News (press release), 11 June 1997. http://gtresearchnews.gatech.edu/newsrelease/MAMMOG.html
  • “Detecting a pattern of irregularities,” London Financial Times (newspaper), 26 June 1997.
  • “Software improves mammogram analysis,” U.S. Medicine (magazine), July 1997.
  • “Pattern recognition technique may help radiologists analyze mammograms,” The Computer Journal (trade journal), September 1997.
  • “System aids mammography,” The Medical Herald (trade journal), September 1997.
  • “Pattern recognition system aids medical imaging,” Computer Graphics World (magazine), pages 15 & 18, September 1997.
  • “Many applications for new pattern recognition formula,” Optics & Photonics (trade journal), pages 10 & 14, October 1997.
  • “Spotting defects in people and parts,” Quality in Manufacturing (trade journal), October 1997.
  • “Una nueva technica de deteccion ayudaria a los radiologos a analizar mamogramas digitales,” Mecanica Popular (magazine), October 1997.
  • “Pattern recognition technique may help analyze mammograms,” Medical Equipment Designer (trade journal), November 1997.
  • “Pattern recognition technique may help analyze mammograms,” DesignFax (trade journal), November 1997.
  • “Computer database aids pattern recognition,” Diagnostic Imaging (trade journal), pages 74-75, September 1997.
  • “Data mining of digital mammograms will aid in war against cancer,” Georgia Institute of Technology Press Release, Atlanta, 29 November 2000. http://www.gatech.edu/news-room/archive/news_releases/digimammogram.html
  • 14.Barnes, C.F., “A picture is worth a thousands words – even more if computers have vision and voice – New tools for marine environment monitoring,” Skidaway Scenes, July 2003.
  • “Tech faculty join fight against cancer,” The Whistle, Georgia Institute of Technology, 20 February 2004. http://www.whistle.gatech.edu/archives/04/mar/01/gcc.shtml
  • 16.Barnes, C.F., “Mining breast cancer imaging data,” Research Horizons: New Strategies for Battling Cancer (magazine), page 15, Spring/Summer 2004. http://gtresearchnews.gatech.edu/reshor/rh-ss04/c-mining.html
  • 17.Barnes, C.F., “Remote sensing of coastal processes,” College of Engineering Annual Report, Georgia Institute of Technology, Fall 2004.
  • 18. “Can high-resolution imagery resolve the Ararat mystery?” Geospatial Solutions, Earth Imaging and Remote Sensing, 1 October 2008. visit http://eirs.geospatial-solutions.com/gsseirs/Earth+Imaging+Newsletter/Can-High-Resolution-Imagery-Resolve-the-Ararat-Mys/ArticleStandard/Article/detail/562829?contextCategoryId=42569

Patents:

  • U.S. Patent Number 5,250,949: "System and method for data compression using multiple codewords and transmitted indices," filed: 14 August 1989, issued: 5 October 1993.

 Conference Presentations without Proceedings:

  • Barnes, C.F., Partizian, A.A. and Piper, S.O., “EP techniques for DRFM jammers using adaptive threshold,” Electronic Counter Measures / Electronic Protection Workshop, Atlanta, GA, November 14, 1995.
  • Richards, M.A., Barnes, C.F., Showman, G.A., Moorefield, F.D. and Sangston, J.K., “Improved SAR image formation algorithms for simulation and evaluation of SAR electronic protection techniques,” 10thAnnual Electronic Protection Technical Interchange Meeting, GTRI, Atlanta, GA, October 29-30, 1997.
  • Barnes, C.F., “A new type of structured templates for nearest-neighbor pattern matching: applications in compression and classification,” Workshop on Data Compression Techniques for Missile Guidance Data Links, Redstone Arsenal, AL, December 2-3, 1998.
  • Smith, G., Catrone, J. and Barnes, C. “Theater high altitude air defense homogeneous signal and data processing on COTS scalable parallel processors,” HPEC’99 Third Annual Workshop on High-Performance Embedded Computing, Lincoln Laboratory, Boston, MA, September 22-23, 1999.
  • Smith, G., Manoogian, D., Kingan, R., Lubanko, D. and Barnes, C., “Commonality and use of COTS for signal and data processing for multiple radar systems,” AIAA 2000, Multinational BMD Conference and Exhibition, Boston, MA, November, 2000.
  • Cooper, J., Oravits, R. and Barnes, C. “Fault tolerant signal and data processing in missile defense radars,” HPEC’01 Fifth Annual Workshop on High-Performance Embedded Computing, Lincoln Laboratory, Boston, MA, September 2001.
  • Barnes, C.F., “SOLDIER empowered image data mining for target recognition and attribution,” AIAA Conference, Monterrey, CA, November 5-7, 2002.
  • Barnes, C.F., “Autonomous attribution of mammograms for breast cancer diagnosis through Image Data Mining,” Suddath Cancer Symposium, Atlanta, GA, March 28, 2003.
  • Barnes, C.F., “S4E data mining,” presented at NIMA Pathfinder 2002 Conference, Washington, DC, May 8, 2001.
  • Barnes, C.F., “SOLDIER image enabled data mining for remote sensing processing workflows,” NGA Academic Researchers Program Symposium, Washington, DC, September 2003.
  • Barnes, C.F., Automated data extraction with SOLDIER image mining, NIMA Academic Research Program Symposium, Washington, DC, October 2003.
  • Barnes, C.F., “Genomic and image enabled data mining in integrative databases: New tools for computational biology,” Suddath Cancer Symposium, Atlanta, GA, March 19, 2004.
  • Barnes, C. F., “Mammogram enabled data mining for diagnosis decision support and for the clinical research enterprise,” GCC Cancer Research Conference, Braselton, GA, May 6-7, 2004.
  • Barnes, C.F. “SOLDIER image data mining and applications,” ASPRS Annual Conference, Denver, CO, May 23-28, 2004.
  • Barnes, C.F., Work, P., Hass, K. and Fritz, H., “Shore video enabled data mining for bathymetric assessments,” NGA Academic Researchers Program Symposium, National Academy of Sciences, Keck Center, Washington, DC, September 15-17, 2004.
  • Burki, J. and Barnes, C. F., “SAR image exploitation via image enabled data mining,” GSPx Conference of SAR Imaging,” San Jose, CA, October 24-27, 2005.
  • Barnes, C. F., “A tutorial on SAR image interpretation,” GSPx Conference of SAR Imaging, San Jose, CA, October 24-27, 2005.
  • Barnes, C. F., “Understanding Omega-K SAR processing with use of phase maps,” GSPx Conference of SAR Imaging, San Jose, CA, October 24-27, 2005.Barnes, C. F., “Processing polar format SAR data with Omega-K algorithms,” GSPx Conference of SAR Imaging, San Jose, CA, October 24-27, 2005.
  • Barnes, C.F., Work, P., Hass, K. and Fritz, H., “Image applications framework for automatic feature extraction,” NGA Academic Researchers Program Symposium, National Academy of Sciences, Keck Center, Washington, DC, September 2005.
  • Barnes, C.F., Work, P., Hass, K. and Fritz, H., “Image driven data mining of high resolution satellite imagery of hurricane and tsunami disaster zones,” NGA Academic Researchers Program Symposium, National Academy of Sciences, Keck Center, Washington, DC, September 2006.
  • Barnes, C.F, Fritz, H. and Yoo, J., “Image driven data mining in tsunami and hurricane high resolution satellite imagery,” ASPRS 2007 Annual Conference, Tampa, FL, May 7-11, 2007.
  • Aslam, S. and Barnes, C. F., “Video tracking with RVQ, Georgia Tech Broadband Institute Poster Show, Atlanta, GA, April 21, 2009.    

Seminar Presentations:

  • Barnes, C.F., “Origami codes,” Georgia Institute of Technology, Electrical Engineering Department, Digital Signal Processing Group, April 1990.
  • Barnes, C.F., “Tree structured signal space codes,” Georgia Tech Research Institute, Senior Technology Guidance Council, January 1992.
  • Barnes, C.F., “Statistical image processing for imagery and communications,” Advanced Computational and Information Science Directorate Colloquium, Army Research Laboratory, Ft. Monmouth, NJ, July 1994.
  • Barnes, C.F., “SAR and ISAR surveillance algorithms based on a merger of iterative image formation processing and sequential detection and classification techniques,” Office of Naval Research, Arlington, VA, December 2-4, 1997.
  • Barnes, C.F., “Recent advances in automatic target recognition and data compression,” National Security Agency, Fort Meade, ML, September 25, 1997.
  • Barnes, C.F., “DSSA classification of forward-looking sonar data,” NSWC Coastal Systems Station, Panama City, FL, October 27, 1998.
  • Barnes, C.F., “Image data mining: medical, remote sensing and security applications,” IEEE Sectional Meeting, Savannah, GA, April 2003.
  • Barnes, C.F., “Image data mining: medical, remote sensing and security applications,” GTREP Advisory Board Meeting, Savannah, GA, May 2003.
  • Barnes, C. F., “Skin texture analysis via image enabled data mining,” Johnston & Johnston Inc., Research and Development Center, New Brunswick, NJ, May 10, 2004.
  • Barnes, C. F., “Mammogram enabled data mining for clinical decision support,” Anderson Cancer Institute, Savannah, GA, September 22, 2004.
  • Barnes, C. F., “GT-Savannah and Anderson Cancer Initiatives,” Georgia Senate Economic Development Committee, Savannah, GA, September 19, 2004.
  • Barnes, C. F., “Medical image enabled data mining,” Anderson Cancer Institute and Hoskin Oncology Research Center, Memorial Hospital, Savannah, GA, November 22, 2006.
  • Barnes, C. F., Image driven data mining and advances in synthetic aperture radar signal processing, Center for Signal and Image Processing (CSIP), Georgia Tech, Atlanta, GA, 29 January, 2010.  
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