Wednesday, March 21, 2012

PUBLICATIONS

JOURNALS
  1. B. G. Mobasseri and R. S. Lynch,  "Information embedding in sonar by modifications of time-frequency properties,” IEEE Journal Of Oceanic Engineering, 2015 (in press).
  2. G. E. Smith and B. G. Mobasseri, "Analysis and exploitation of multipath ghosts in radar target image classification," IEEE Trans. Image Processing, vol. 23, no. 4, pp. 1581-1592-767, April 2014.
  3. G. E. Smith and B. G. Mobasseri, ”Robust through-the-wall radar image classification using a target-model alignment procedure,” IEEE Trans. Image Processing, vol. 21, no. 2, pp. 754-767, Feb. 2012.
  4. B. G. Mobasseri and M. Marcinak, ”Data hiding in MPEG-2 bitstream by creating exceptions in code space,”, Signal, Image and Video Processing, Feb. 2012.
  5. B. G. Mobasseri, P. Krishnamurthy“Spatio-temporal object relationships in image se- quences using adjacency matrices,” Signal, Image and Video Processing, pp. 1-12, De- cember 2010.
  6. B. G. Mobasseri, R.J. Berger, M. P. Marcinak, Y. Naik Raikar, “Data embedding in JPEG bitstream by code mapping,” IEEE Trans. Image Processing, vol. 9, no. 4, pp. 958-966, April 2010.
  7. Y. Zhang, B. Mobasseri, B. M. Dogahe, and M. G. Amin, “Image-adaptive watermark- ing using 2-D chirps, Signal, Image and Video Processing, vol. 4, no. 1, pp. 105-121, March 2010.
  8. B. G. Mobasseri, D. Cinalli, “Lossless watermarking of compressed media using re- versibly decodable packets,” Signal Processing, Volume 86, Issue 5, May 2006, Pages 951-961.
  9. B. G. Mobasseri, R.J. Berger, “A foundation for watermarking in compressed domain, IEEE Signal Processing Letters, May 2005, pp. 399-402.
  10. S. R. Nelatury, B. G. Mobasseri, “Synthesis of discrete-time, discrete-frequency Wigner Distribution, IEEE Signal Processing Letters, August 2003, pp. 221-224.
  11. B. G. Mobasseri, “Digital modulation classification using constellation shape,” Signal Processing, 80 (2000) 251-277.
  12. B. G. Mobasseri, “A generalized solution to quadtree expected complexity problem,” Pattern Recognition Letters, 16, 443-456, 1995.
  13. B. G. Mobasseri, “Automatic target scoring using machine vision,” Int’l Jl. Machine Vision and Applications, 8:20-30, 1995.
  14. B. G. Mobasseri, “A hierarchical representation for random fields, Pattern Recognition Letters 11 (1990), 545-552.
  15. B. G. Mobasseri, “Integrating a Microcomputer-based imaging workstation into the Electrical Engineering curriculum, Int. J. Appl. Engr. Ed., Vol. 4, No. 1, pp. 47-56, 1988.
  16. B. G. Mobasseri, P. E. Anuta, and C. D. McGillem, “A parametric model for multispec- tral scanners, IEEE Trans.Geosc. Remote Sensing, vol. GE-18, pp. 175-179, Apr. 1980.
  17. B. G. Mobasseri and C. D. McGillem, “Multiclass Bayes error estimation by a feature space sampling technique, IEEE Trans.Syst. Man Cybern., vol. SMC-9, pp. 660-665, Oct. 1979.
RECENT CONFERENCES
  1. B. G. Mobasseri and A. Lulu,”LPI waveform design using the chirplet graph,”, MTS/ IEEE OCEANS 2015, Oct. 19-22, Washington D. C. 
  2. G. E. Smith and B. G. Mobasseri, ”Resolution independent radar target recognition,” IEEE Radar Conference, Kansas City, May 23-27, 2011.
  3. G. E. Smith, P. Setlur and B. G. Mobasseri, ”Multiple hypothesis tests for robust radar target recognition,” IEEE Radar Conference, Kansas City, May 23-27, 2011.
  4. B. G. Mobasseri, N. Chakilam, R. S. Lynch, "Sonar watermark embedding and detection: a sea trial report," SPIE Defense, Security and Sensing, Baltimore, MD., April 23-27, 2012.
  5. B. G. Mobasseri, S. Sankepelly, R. S. Lynch, ”Sonar detection performance improvement using embedded watermark,” IEEE OCEANS’11, Kona, Hawaii, September 19-23, 2011.
  6. I. Orovic, S. Stankovic, B. G. Mobasseri and M. Chabert, "A robust image watermarking procedure by using the Hermite projection method," Proceedings 53 International Symposium  ELMAR, Zadar, Croatia, September 14-16, 2011.
  7. B. G. Mobasseri, S. Sankepelly, R. S. Lynch, “Joint sonar-watermark detection using pulse compression filter,” in IEEE Aerospace Conference, Big Sky, MT, 5-12, March 2011.
  8. B. G. Mobasseri, R. S. Lynch, N. Chakilam ”Watermarking sonar waveforms using knowledge of channel coherence,” IEEE OCEANS, Seattle, Sept. 20-24, 2010.
  9. B. G. Mobasseri, R. S. Lynch, ”Sonar authentication performance evaluation under realistically simulated undersea channels,” SPIE Defense, Security and Sensing, April 18-23, 2010.
  10. B. G. Mobasseri, G. E. Smith. I. Estephan, ” A Target Alignment Algorithm for Through-the-Wall Radar Imagery Classification,” IEEE Radar Conference, May 10-14, 2010, Washington D. C.
  11. B. G. Mobasseri; M. G. Amin, ”A time-frequency classifier for human gait recognition,” SPIE Defense, Security and Sensing, May 3-8, 2009.
  12. B. G. Mobasseri, R. S. Lynch,”Robust sonar identification and authentication in sim- ulated shallow water,” IEEE Underwater Acoustic Signal Processing Workshop, West Greenwich, RI, October 14-16, 2009.
  13. C. G. Carter, R. S. Lynch, B. G. Mobasseri, “Using Digital Watermarking to Identify and Authenticate Active Sonar Echoes,” UDT, Glasgow, Scotland, UK, June 10, 2008.
  14. B. G. Mobasseri and Z. Rosenbaum, “3D classification of through-the-wall radar images using statistical object models,” IEEE Workshop on Image Analysis and Interpretation, March 24-26 2008. Santa Fe, NM.
  15. Z. Rosenbaum and B. G. Mobasseri,“ Interpretation of through-the-wall radar imagery by probabilistic volume model building,” SPIE Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense VII, March 16-20, 16, 2008, Orlando, FL.
  16. B. G. Mobasseri and P. Krishnamurthy, “Establishing target track history by digital watermarking,” in SPIE Conference on Security, Forensics, Steganography, and Watermarking of Multimedia Contents X, January 27-29 2008. San Jose, CA.
  17. B. G. Mobasseri, R. S. Lynch, C. G. Carter, “Information embedding in sonar for au- thentication and identification,” in Proc. IEEE Aerospace Conference, pp. 1-5, March 1-8, 2008.