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Vinay Ingle

Associate Professor,  Electrical and Computer Engineering

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Office

  • 304 Dana Research Center
  • 617.373.3008

Research Focus

Multidimensional signal processing and Hyperspectral imaging

About

Vinay K. Ingle received his Bachelor of Technology in EE from Indian Institute of Technology, MSEE from Illinois Institute of Technology in 1977, and Ph.D. in Electrical and Computer Engineering from Rensselaer Polytechnic Institute in 1981. He joined Northeastern University in 1981 where presently he is an Associate Professor in the Department of Electrical and Computer Engineering.

Prof. Ingle has broad research experience in the areas of signal and image processing, stochastic processes, and estimation theory. Currently he is actively involved in hyperspectral imaging and signal processing. He has taught both undergraduate and graduate courses in many diverse areas including systems, signal/image processing, communications, and control theory. Professor Ingle has coauthored several textbooks on signal processing including “DSP Laboratory Using the ADSP-2101 Microprocessor” (Prentice-Hall, 1991), “DSP Using “Matlab” (Brooks-Cole, 1996 and 2000), and Statistical and Adaptive Signal Processing (McGraw-Hill, 2000 and Artech House, 2005).

Education

  • PhD, Rensselaer Polytechnic Institute, 1981. Joined Northeastern in 1981.

Research Overview

Multidimensional signal processing and Hyperspectral imaging

Selected Research Projects

  • Algorithms for Threat Detection
    • – Principal Investigator, MIT Lincoln Lab
  • Anamoly Detection in Sequential Image Frames using Low-Rank Modeling
    • – Principal Investigator, MIT Lincoln Lab
  • Investigation of Hyperspectral Target Detection Algorithms
    • – Principal Investigator, MIT Lincoln Lab
  • Performance Modeling and Prediction for LWIR Hyperspectral Target Detection Systems
    • – Principal Investigator, MIT Lincoln Lab

Department Research Areas

Selected Publications

Technical Publications (Conferences)

  1. Pieper, V. Ingle, D. Manolakis, “Sensitivity of temperature and emissivity separation to atmospheric errors in LWIR hyperspectral imagery”, SPIE Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV, SPIE 2018 Defense + Security, Orlando, Florida, May 8, 2018, DOI: 10.1117/12.2303877.
  2. L. Pieper, D. Manolakis, E. Truslow, J. Jacobson, A. Weisner, T. Cooley, V. Ingle, “Wavelength calibration correction for ground radiance spectra in LWIR hyperspectral imagery,” Proc. SPIE 10768, Imaging Spectrometry XXII: Applications, Sensors, and Processing, 1076805 (18 September 2018); doi: 10.1117/12.2321332.
  3. Bosowski, V. Ingle, and D. Manolakis, “Generalized Linear Models for Count Time Series,” 2017 International Conference on Acoustic, Speech, and Signal processing (ICASSP-17), New Orleans, LA, March 2017.
  4. Herrero and V. Ingle, “Preprocessing and Compression of Hyperspectral Images Captured On-board UAVs” , Conference on Unmanned/Unattended Sensors and Sensor Networks, SPIE Security + Defence, Edinburgh, U.K., September 2016.
  5. Pieper, D. Manolakis , E. Truslow , T. Cooley, M. Brueggeman, A. Weisner, and J. Jacobson, “In-scene LWIR downwelling radiance estimation,” Proc. SPIE 9976, Imaging Spectrometry XXI, 99760E (September 19, 2016); doi:10.1117/12.2239138.
  6. Pieper, D. Manolakis, E. Truslow, V. Ingle, T. Cooley, M. Brueggeman, A. Weisner, J. Jacobson, “Comparison of Hyperspectral Change Detection Algorithms”, Proc. SPIE 9611, Imaging Spectrometry 20, 96110Z (September 1, 2015); doi:10.1117/12.2188316.
  7. Michael Pieper, Dimitris Manolakis, Vinay Ingle, Thomas W. Cooley, Michael Brueggeman, Andrew Weisner, John Jacobson: New insights and practical considerations in hyperspectral change detection. IGARSS 2015: 4161-4164.
  8. Eric Truslow, Steven Golowich, Dimitris Manolakis, Vinay Ingle, “Metrics for the Comparative Evaluation of Chemical Plume Identification Algorithms,” SPIE+DSS Baltimore, 2015.
  9. Eric Truslow, Michael Pieper, Vinay Ingle, Steven Golowich “Performance evaluation of a remote-sensing chemical identification algorithm,” IGARSS 2015.
  10. Sidi Niu, Steven E Golowich, Vinay K Ingle, Dimitris G Manolakis, “Hyperspectral Chemical Plume Quantification and Temperature Estimations; Proceedings of SPIE conference on Defense and Security (9088); Sensor Technologies; June 13, 2014, pp 90880V-90880V-8, Baltimore, MD.
  11. Rolando Herrero, Martin Cadirola, Vinay K. Ingle “Effects of Preprocessing applied to the Compression of Ultraspectral Images”, Proceedings of SPIE conference on Defense and Security (9088), Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XX; 13 June 2014; Baltimore, MD; doi: 10.1117/12.2048639.
  12. Herrero and V. Ingle, “Space-Filling Curves Applied To Compression Of Ultraspectral Images”, Journal of Signal, Image and Video Processing, Springer, October 24, 2013, DOI: 10.1007/s11760-013-0565-8.
  13. Sidi Niu, Steven E. Golowich, Vinay K. Ingle, and Dimitris G. Manolakis, “Implications and mitigation of model mismatch and covariance contamination for hyperspectral chemical agent detection”, Journal of Optical Engineering – SPIE, 52(2), 026202 (Feb 04, 2013).
  14. Sidi Niu, Steven E. Golowich, Vinay K. Ingle, and Dimitris G. Manolakis, “New approach to remote gas-phase chemical quantification: selected-band algorithm”, Journal of Optical Engineering – SPIE, 53(2), 021111 (Dec 23, 2013).
  15. Herrero and V. Ingle, “Lossy Compression of Ultraspectral Images: Integrating Preprocessing and Compression Stages”, Journal of Signal, Image and Video Processing, Springer-Verlag, pp 1—12, October 2012, doi={10.1007/s11760-012-0397-y}.
  16. Sidi Niu, Steven E. Golowich, Vinay K. Ingle, Dimitris G. Manolakis, “Implications and Mitigation of Model Mismatch and Covariance Contamination for Hyperspectral Chemical Agent Detection”, SPIE Journal of Optics Engineering, Vol 52(2), pp 1-19, February 2013.
  17. Herrero and V. Ingle, “A New Preprocessing Stage for Compression of Ultraspectral Images”, IEEE Data Compression Conference, 2012, CD-ROM.
  18. Herrero and V. Ingle, “Integrating Spectral Preprocessing, Spatial Subband Decomposition, and Linear Prediction to Accomplish Lossy Ultraspectral Image Compression”, SPIE DSS Conference, 2012, CD-ROM.
  19. Herrero and V. Ingle, “Combining Processing Stages for Ultraspectral Image Lossy Compression”, ASPRS Conference, 2012, CD-ROM.
  20. Sidi Niu, Steven E. Golowich, Vinay K. Ingle, Dimitris G. Manolakis, “Algorithms for Remote Quantification of Chemical Plumes: A Comparative Study” Proc. SPIE 83902, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, Editors: Sylvia S. Shen; Paul E. Lewis, Baltimore, Maryland, USA, April 23, 2012, CDROM.
  21. Sidi Niu, Steven E. Golowich, Vinay K. Ingle, and Dimitris G. Manolakis, “Implications of model mismatch and covariance contamination on chemical detection algorithms”, Proc. SPIE 8048 (Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVII), 80481E (2011); doi: 10.1117/12.883400, CD-ROM, Orlando, Florida, April 2011.
  22. Sidi Niu, Steven E. Golowich, Vinay K. Ingle, and Dimitris G. Manolakis, “Design and Evaluation of Robust Matched Filters for Chemical Agent Detection,” Proc. SPIE 8186 (Electro-Optical Remote Sensing, Photonic Technologies, and Applications V), 81860R (2011); doi: 10.1117/12.898094, CD-ROM, Prague, Czech Republic, September 2011.
  23. Niu, V.K. Ingle, D.G. Manolakis, and T.W. Cooley, “Tests for the Elliptical Symmetry of Hyperspectral Imaging Data,” Imaging Spectrometry XV, 7812/D/Aug 2010, pp. 1117, 2010. San Diego, CA.
  24. Niu, V.K. Ingle, D.G. Manolakis, T. Cooley, “On the modeling of hyperspectral imaging data with elliptically contoured distributions,” 2010 2nd Workshop on Evolution in Remote Sensing (WHISPERS), June, pp. 1-4, 2010. Reykjavik, Iceland.
  25. Yu, G., Kamarthi, S. V., Ingle, V. K., “Characterization and Assessment of Surface Roughness Using Novel Data Representation Methods”, Proceedings of the 14th Industrial Research Conference (IERC 2005), Atlanta, GA, May 14 – 18, 2005.
  26. Frechette, S. and Ingle, V. K., “Gradient based Multifocus Video Image Fusion,” IEEE International conference on Advanced
  27. ial Research Conference (IERC 2005), Atlanta, GA, May 14 — 18,sing Novel Data Representation Methods usingVideo and Signal-based Surveillance (AVSS), Como, Italy, October 2005 pp 486-492.
  28. Kile, J. N., Gould, J., Ingle, V. K., et al, “Phenomenology for Operations in Urban Environments”, Proc. of SPIE Conference on Unmanned Ground, Ocean, and Air Technologies, Vol. 5417, March 2004, pp 353-363.
  29. Grasso R.J., Rossacci M.J., Ingle V. K., and Gnadt W., “A Novel Target Detection Algorithm Based Upon Hyperspectral Invariant Subpixel Material Identification,” Military Sensing Symposium: Passive Sensor Processing, Tucson, Arizona, February 24-28, 2003, pp 273-276.
  30. J. Grasso, M.J. Rossacci, V.K. Ingle, and W. Gnadt, “A Novel Target Detection, Recognition, and Discrimination Algorithm Based upon Hyperspectral Invariant Subpixel Material Identification,” 2003 Meeting of the MSS Specialty Group on Missile Defense-Sensors, Environments and Algorithms, Volume I, Naval Postgraduate School, Monterrey, California, January 21-23, 2003, pp 415-418.
  31. J. Grasso, M.J. Rossacci, and V.K. Ingle, “Development of a Novel Target Recognition Algorithm based upon Hyperspectral Invariant Subpixel Material Identification,” Proc. of the Fifth International Military Sensing Symposium, NIST, Gaithersburg, Maryland, December 9-12, 2002.
  32. “Underwater Image Compression Using the Wavelet Transform with Trellis Coded Vector Quantization,” Proceedings of ICSPAT 95, 1995.co-authors: D. Hoag, H. Aksu, V. K. Ingle, M. Salehi and J.G. Proakis.
  33. “Underwater Image Compression using the Wavelet Transform”, Proc. OCEANS-94,Brest, France, September 1994. co-author: David Hoag.

 

  1. “Automatic Adaptive Contrast Enhancement for Radiological Imaging,” 1993 Inter-national Symposium on Circuits and Systems, Chicago, IL, May 1993. (co-author: D.G. Manolakis, A.L. Kok)
  2. “Enhancement of DSA Images”, Proc. SPIE-92, Vol. , Boston, November 1992, pp. (co-authors: V. Digalakis and D. Manolakis)
  3. “DSP Education Based on Course and Laboratory Integration”, Proc. ICASSP-92, San Francisco, CA, March 1992, pp. (co-author: J.G. Proakis)
  4. “Adaptive Image Restoration using the Multichannel RLS Algorithm”, Proc. ICASSP-91, Toronto, May 1991. (co-author: M. Chellali)
  5. “Fast Algorithms for Multidimensional Linear Prediction”, Seventh IEEE Workshop on Multidimensional Signal Processing, Lake Placid, New York, September, 1991. (co-authors: V. Digalakis and D. Manolakis)
  6. “Noncausal Zero-Phase Spatial Autoregressive Models with Application in Image Processing”, submitted to Multidimensional Systems and Signal Processing Journal in June 1991. Accepted for publication in 1993. (Co-authors: A.L. Kok, D. Manolakis)
  7. “Adaptive Image Restoration using the Multichannel Recursive Least Squares Algorithm”, 1990 Conference on Information Sciences and Systems, Princeton University, Princeton, May 1990.(co-author: M. Chellali)
  1. “Identification of Space Varying Blur using the Multichannel Recursive Least Squares Algorithm”, 1990 Conference on Information Sciences and Systems, Princeton University, Princeton, May. 1990. (co-author: M. Chellali)
  1. “Applications of Adaptive Equalization to Image Processing,” The 6th Scandinavian Conference on Image Analysis, Finland, June 1990. (co-author: M. Chellali)
  1. “A Conditional Entropy-Coded Multi-Stage Vector Quantizer for Image Coding,” Proceedings of the Sixth Multidimensional Signal Processing Workshop, Pacific Grove, CA, September 1989. (co-author: X.C. Yuan)
  1. “An Image Coding Algorithm based on A Class of Doubly Stochastic Image Models,” Proceedings of the ICASSP-89, Glasgow, Scotland, May 1989. (co-author: X.C. Yuan)
  1. “A New Three-Dimensional Linear Predictive Algorithm for Digital Subtraction Angiography,” Proceedings of the Fifteenth Annual Northeast Bioengineering Conference, Boston, MA, March 1989. (co-author: V. Digalakis)
  1. “Applications of Adaptive Least Squares Filtering to Image Restoration”, Proceedings of the SPIE Symposium on Visual Communications and Image Processing’88, Cambridge, MA, November 1988. (co-author: M. Chellali)
  1. “Multichannel Approach to Adaptive Image Restoration using the 2-D Least Squares Algorithm”, Proceedings of the First Annual Meeting of International Neural Net-work Society, Boston, September 1988. (co-author: M. Chellali)
  1. “A new 2-D State Space Identification and Estimation Method with Applications in Image Processing”, 1988 IEEE International Symposium on Information Theory, Kobe Japan, June 1988. (co-author: Qi Li)
  1. “An Adaptive Image Coding Algorithm based on Noncausal LPC and Vector Quantization”, Proceedings of 1988 International Conference on Acoustics, Speech, and Signal Processing, New York, NY, April 1988. (co-authors: X. C. Yuan and D. G. Manolakis)
  1. “A New Approach to Identification and Estimation of 2-D State Space Models for Applications in Image Processing”, Proceedings of the 22nd Conference on Information Systems and Sciences, Princeton University, March 1988. (co-author: Qi Li)
  1. “Fast Algorithms for Noncausal Zero-Phase Auto-Regressive Models and their Applications to Stochastic Texture Synthesis.”, Proceedings of 1987 International Symposium on Circuits and Systems, June 1987. (co-author: A.L. Kok, D.G. Manolakis)
  1. “Texture Modeling and Synthesis using 2-D Noncausal Zero-Phase Auto- Regressive Models”, Proceedings of 1987 International Conference on Acoustics, Speech and Signal Processing, April 1987. (co-authors: A.L. Kok, D.G. Manolakis)
  1. “Efficient Algorithms for 1-D and 2-D Noncausal Auto-Regressive Signal Modeling”, Proceedings of 1987 International Conference on Acoustics, Speech and Signal Processing, April 1987. (co-authors: A.L. Kok, D.G. Manolakis)
  1. “Fast Algorithms for 2-D FIR Wiener Filtering and Linear Filtering”, IEEE Transactions on Circuits and Systems, Vol. CAS-34, No. 1,January 1987.

(co-author: D.G. Manolakis)

  1. “An Efficient Algorithm for 2-D Linear Prediction with Applications to Object Detection”, Proceedings of the 20th Conference on Information Systems and Sciences, Princeton University, March 1986.

(co-authors: S.C. Leung, D.G. Manolakis)

  1. “An Efficient Algorithms and related Architecture for Image Restoration and Detection”, Fourth Acoustics, Speech and Signal Processing Workshop on Multidimensional Digital Signal Processing, October 1985, Leesburg VA.

(co-author: D.G. Manolakis)

  1. “On the Multichannel Solution of the 2-D Wiener Filtering Problem, ” Proceedings of the Automatic Control Conference, Boston, 1985.

(co-author: D.G. Manolakis)

  1. “Fast Algorithms for 2-D Wiener Filters with Applications in Image Processing,” Proceedings of 1985 Conference on Information Sciences and Systems, Johns Hopkins University, Baltimore, March 1985. (co-author: D.G. Manolakis)
  1. “Optimal Filtering of Stochastic Delay Systems observed in Poisson Noise,” submitted to Information Theory Transactions, 1982. Revised and resubmitted in 1984. Under Revision. (co-author: J.W. Woods).
  1. “Experimental Comparison of Reduced Update Kalman Filters and Wiener Filters for Two-Dimensional Linear Minimum Mean Squared Error Estimation,” Proceedings of the International Conference on Acoustics, Speech and Signal Processing, Denver, CO, April 1980. (co-authors: J.W. Woods and R. Hingorani)
  1. “Recursive Image Estimation: A Multiple Model Approach,” Proceedings of the 18th Conference on Decision and Control, Florida, December 1979. (co-authors: J.W. Woods, H. Kaufman, and A. Radpour)
  1. “Multiple Model Recursive Estimation of Images,” Proceedings of the International Conference on Acoustics, Speech and Signal Processing, Washington DC, April 1979. (co-author: J.W. Woods)
  1. “Adaptive Kalman-Type Estimation Applied to Image Processing,” Proceedings of the 21st Midwest Symposium on Circuits and Systems, Ames, IA, August 1978. (co-authors: A. Radpour, H. Kaufman, and J.W. Woods)
  1. “Recursive Estimation with Nonhomogeneous Image Models,” Proceedings of the IEEE Conference on Pattern Recognition and Image Processing, Chicago, IL, June 1978. (co-authors: A. Radpour, J.W. Woods, and H. Kaufman)
  2. “Two-Dimensional Processing of Spectrogram Data,” Proceedings of the International Conference of Acoustics, Speech and Signal Processing, Tulsa, OK, April 1978. (co-author: J.W. Woods)

 

Book Publications

  1. “Digital Signal Processing Laboratory using ADSP-2101 Microcomputer” Prentice-Hall, Englewood Cliffs, 1991. (co-author: John G. Proakis)
  1. “Digital Signal Processing using MATLAB” PWS-Kent, Boston, MA, May 1996. (co-author: John. G. Proakis)
  1. “Statistical and Adaptive Signal Processing: Signal modeling, Spectrum Estimation, Adaptive Filtering, and Array Processing” McGraw-Hill, New York, September 2000. (co-authors: D.G. Manolakis and S. Kogon)
  1. “Discrete Systems using MATLAB” Brooks-Cole (ITP) Publishers, Pacific Grove, CA. 2000. (co-author): Martin Schetzen)
  1. “Self-study Guide for Digital Signal Processing using MATLAB” Prentice-Hall, Englewood Cliffs, 1991. 2003. co-author: John. G. Proakis)
  1. “Statistical and Adaptive Signal Processing: Signal modeling, Spectrum Estimation, Adaptive Filtering, and Array Processing” Second Edition, Artech House, MA, August 2005. (co-authors: D.G. Manolakis and S. Kogon)
  1. “Digital Signal Processing using MATLAB”, Second Edition, Brooks-Cole, Pacific Grove, CA, August 2006. (co-author: John. G. Proakis)
  1. “Applied Digital Signal Processing”, Cambridge University Press, Cambridge, UK, December 2011. (co-author: Dimitris G. Manolakis)
  2. “Digital Signal Processing using MATLAB”, Third Edition, Cengage Learning, Stamford, CT, January 2012. (co-author: John. G. Proakis)
  3. “Digital Signal Processing using MATLAB”, Fourth Edition, Cengage Learning, Stamford, CT, January 2017. (co-author: John. G. Proakis)