PUBLICATIONS | mysite

Dr. Nasrabadi's Google Scholar profile:

scholar.google.com/citations?user=PNhUilMAAAAJ&hl=en

Dr. Nasrabadi's ResearchGate profile:

www.researchgate.net/profile/NM_Nasrabadi

Dr. Nasrabadi's publication list in Computer Science Bibliography:

dblp.uni-trier.de/pers/hd/n/Nasrabadi:Nasser_M=

LIST OF JOURNAL PUBLICATIONS:

Amirsina Torfi, SM Iranmanesh, Nasser M. Nasrabadi, Jeremy Dawson, “3D Convolutional Neural Networks for Cross Audio-Visual Matching Recognition,” IEEE Access, vol. 5, pp. 22081-22091, 2017.
Tianpei Xie, Nasser M. Nasrabadi, Alfred O. Hero III, “Learning to Classify with Possible Sensor Failures,” IEEE Transactions on Signal Processing, vol. 65, no.4, pp. 836-849, 2017.
Minh Dao, Nam Nguyen, Nasser M. Nasrabadi, Trac D. Tran, “Multi-Sensor Classification via Joint Sparse Representation for discriminating between human and animal footsteps,” IEEE Transactions on Signal Processing, IEEE Transactions on Signal Processing, Vol. 64, No. 9, pp. 2400-2415, May 2016.
Soheil Bahrampour, Nasser M. Nasrabadi, Asok Ray, Kenneth W. Jenkins, “Multimodal Task-Driven Dictionary Learning,” IEEE Transactions on Image Processing, Vol. 25, No. 1, pp. 24-38 Jan. 2016.
Benjamin S. Riggan, Christophor Reale, Nassser M. Nasrabadi, “Coupled Auto-Associative Neural Networks for Heterogeneous Face Recognition,” IEEE Access, vol. 3, pp. 1620-1632, Oct. 2015.
Qing Qu, Nasser M. Nasrabadi, Trac D. Tran, “Subspace Vertex Pursuit: A Fast and Robust Near-Separable Nonnegative Matrix Factorization Method for Hyperspectral Unmixing Method for Hyperspectral Unmixing,” IEEE Journal of Selected Topics in Signal Processing, Vol. 9, No. 6, pp. 1142-1155, Sept., 2015.
Xiaoxia Sun, Qing Qu, Nasser M. Nasrabadi, Trac D. Tran, “Task-driven Dictionary Learning for Hyperspectral Image Classification with Structured Sparsity Priors,” IEEE Trans. On Geoscience and Remote Sensing, Vol. 53, No. 8, pp. 4457-4471, Aug., 2015.
Zhangyang Wang, Nasser M. Nasrabadi, Thomas S. Huang, “Semi-supervised Hyperspectral Classification Using Task-driven Dictionary Learning with Laplacian Regularization,” IEEE Transactions on Geoscience and Remote Sensing, Vol.53, No.3, pp. 1161-1173, March 2015.
Umamahesh Srinivas, Nasser M. Nasrabadi, Vishal Monga, “Graph-based Sensor Fusion for Classification of Transient Acoustic Signals,” IEEE Transactions on Cybernetics, Vol.45, No.3, pp. 576-586, March 2015.
Zhaowen Wang, Nasser M. Nasrabadi, Thomas Huang, “Spatial-spectral Classification of Hyperspectral Images using Discriminative Dictionary Designed by Learning Vector Quantization,” IEEE Trans. On Geoscience and Remote Sensing, Vol. 52, No. 8, pp. 4808-4822, August 2014.
Xiaoxia Sun, Qing Qu, Nasser M. Nasrabadi, Trac D. Tran, “Structured Priors for Sparse Representation Based Hyperspectral Image Classification,” IEEE Geoscience and Remote Sensing Letter, vol.11, no. 7, pp. 1235-1235, July. 2014.
Qing Qu, Nasser M. Nasrabadi, Trac D. Tran, “Abundance Estimation for Bilinear mixture models via joint sparse and low rank representations,” IEEE Trans. On Geoscience and Remote Sensing, Vol. 52, No. 7, pp.4404-4422, July 2014.
Nasser M. Nasrabadi, “Hyperspectral Target Detection: An Overview of Current and Future Challenges,” IEEE Signal Processing Magazine, vol.31, no.1, pp. 34-44, Jan. 2014.
Vishal M. Patel, Glenn R. Easley, Nasser M. Nasrabadi, and Rama Chellappa, “Separated Component-Based Restoration of Speckled SAR Images,” IEEE Trans. On Geoscience and Remote Sensing, Vol. 52, No. 2, pp. 1019-1029, Feb. 2014.
Sumit Shekhar, Vishal M. Patel, Nasser M. Nasrabadi and Rama Chellappa, "Joint sparse representation for robust multimodal biometrics recognition," IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 36, No. 1, pp. 1019-1029, Feb. 2014.
Soheil Bahrampour, Asok Ray, Soumalya Sarkar, Thyagaraju Damarla, Nasser M. Nasrabadi, “Performance Comparison of Feature Extraction Algorithms for Target Detection and Classification,” Pattern recognition Letters, vol.34, pp.2126-2134, 2013.
Jos´e M. Bioucas-Dias, Antonio Plaza, Gustavo Camps-Valls, Paul Scheunders, Nasser Nasrabadi, and Jocelyn Chanussot, “Hyperspectral Remote Sensing Data Analysis and Future Challenges,” IEEE Geoscience and Remote Sensing Magazine, Vol. 1, no. 2, pp. 6-36, 26 June 2013.
Umamahesh Srinivas, Yi Chen, Vishal Monga, Nasser M. Nasrabadi, Trac D. Tran, “Exploiting Sparsity in Hyperspectral Image Classification via Graphical Models, ”IEEE Geoscience and Remote Sensing Letters, vol.10, No.3, pp. 505-509, May 2013.
Yi Chen, Nasser M. Nasrabadi, Trac D. Tran, “Hyperspectral image classification Via Kernel Sparse,” IEEE Trans. On Geoscience and Remote Sensing, Vol.51 No.1, pp.431-440, Jan. 2013.
Haichao Zhang, Nasser M. Nasrabadi, Yanning Zhang, Thomas S. Huang “Multi-Metric Learning for Multi-Sensor Fusion Based Classification,” Information Fusion, Vol.14 No.4, pp.431-440, Oct. 2013.
Haichao Zhang, Nasser M. Nasrabadi, Yanning Zhang, Thomas S. Huang, “Joint Dynamic Sparse Representation for Multi-view Face Recognition,” Pattern Recognition, Vol.45 No.4, pp. 1290-1298, April 2012.
Haichao Zhang, Nasser M. Nasrabadi, Yanning Zhang, Thomas S. Huang, “Multi-View Automatic Target Recognition Using Joint Sparse Representation,” IEEE Trans. On Aerospace and Electronic Systems, vol.48, no. 3, pp. 2481 – 2497, July 2012.
Haichao Zhang, Nasser M. Nasrabadi, Thomas S. Huang, Yanning Zhang, “Joint Structured Sparsity Acoustic Signal Classification,” IEEE Trans. On Systems, Man and Cybernetics, Part B, Vol.42, No. 6, pp.1586-1598, Dec. 2012.
Yi Chen, Nasser M. Nasrabadi, and Trac D. Tran, "Effects of linear projections on the performance of target detection and classification in hyperspectral imagery" J. Appl. Remote Sens. 5, 053563 (2011), DOI:10.1117/1.3659894
Yi Chen, Nasser M. Nasrabadi, Trac D. Tran, “Hyperspectral image classification using dictionary-based sparse representation”, IEEE Trans. On Geoscience and Remote Sensing, Vol.49. No.10, pp. 3973-3985, October, 2011.
Yi Chen, Nasser M. Nasrabadi, Trac D. Tran, “Sparse Representation for Target Detection in Hyperspectral Images,” IEEE Journal of Selected Topics in Signal Processing, vol. 5, No. 3, pp 629-640, June, 2011.
Yi Chen, Nasser M. Nasrabadi, Trac D. Tran, “Simultaneous Joint Sparse Model for Target Detection in Hyperspectral Images, ”IEEE Geoscience and Remote Sensing Letters, vol.8, No.4, pp. 676-680, July 2011.
Vishal M. Patel, Nasser M. Nasrabadi, Rama Chellappa, “Sparsity Motivated Automatic Target Recognition,” Applied Optics, Vol. 50, No.11, pp. 1425-1433, April 2011.
Nasser M. Nasrabadi, Asif Mehmood, “Kernel Wavelet-RX: An Anomaly Detection for FLIR Imagery,” Applied Optics, Vol.50, No.17, pp.2744-2751, June 2011.
Nasser M. Nasrabadi, Asif Mehmood, “Wavelet-RX Anomaly Detection for Dual-band FLIR Imagery,” Applied Optics, Vol. 49 Issue 24, pp.4621-4632, 2010.
Michael T. Eismann, Alan D. Stocker, and Nasser M. Nasrabadi, “Automated Hyperspectral Cueing for Civilian Search and Rescue,” the Proceedings of the IEEE, Vol. 97, No. 6, pp. 1030-1055 June 2009.
Lance Kaplan and Nasser M. Nasrabadi, “Block Wiener-based Image Registration for Moving Target Indication,” in J. of Image and Vision Computing, March 27, pp. 694-703, 2009.
Nasser M. Nasrabadi, “Regularized Spectral Matched Filter for Target Detection in Hyperspectral Imagery,” IEEE Signal Processing Letters, Vol.15 pp.317-320, 2008.
Heesung Kwon, Nasser M. Nasrabadi and Patti Gillespie, "Nonlinear Chemical Plume Detection Using Kernel-based Matched Subspace Detectors," Int. J. of High Speed and Systems, vol. 17, no. 4, pp. 813-826, Dec. 2007.
Hirsh Goldberg, Heesung Kwon and Nasser M. Nasrabadi, “Kernel Eigenspace Separation Transform,” IEEE Trans. On Gepscience and Remote Sensing Letters, vol. 4. no. 4, pp. 581-585, Oct., 2007.
Heesung Kwon, and Nasser M. Nasrabadi, "A Comparative Analysis of Kernel Subspace Target Detectors for Hyperspectral Imagery", EURASIP J. of Applied Signal Processing, in special issue Advances in Subspace-Based Techniques for Signal Processing and Communications 2007, Article ID 29250, 13 pages, doi:10.1155/2007/29250.
Nasser M. Nasrabadi, Maria Tates, and Heesung Kwon, “Change Detection Methods for Identification of Mines in SAR Imagery,” J. of Applied Remote Sensing, Vol.1, 013525, Aug. 07 2007.
Maria Tates, Nasser M. Nasrabadi, Heesung Kwon, “Mine Detection in Averaged Multilook SAR Imagery Using Change Detection Methods,” WSEAS Transactions on Signal Processing, Issue 5, Vol. 2, pp. 710-718, May 2006
Heesung Kwon, and Nasser M. Nasrabadi, "Kernel Spectral Matched Filter for Hyperspectral Imagery," J. of Computer Vision, Vol. 71, No. 2, pp. 123-253, Feb. 2007.
Heesung Kwon, and Nasser M. Nasrabadi, "Kernel Adaptive Subspace Detector for Hyperspectral Imagery," IEEE Trans. on Gepscience and Remote Sensing Letters, Vol. 3, No. 2, pp.271-275, April 2006.
Heesung Kwon, and Nasser M. Nasrabadi, "Kernel Matched Subspace Detectors for Hyperspectral Target Detection," IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 28, no. 2, pp. 178-194, Feb. 2006.
Heesung Kwon, and Nasser M. Nasrabadi, "Kernel Orthogonal Subspace Projection for Hyperspectral Target Classification", the IEEE Geoscience and Remote Sensing, vol. 43, No. 12, pp. 2952-2962, Dec. 2005.
Heesung Kwon, and Nasser M. Nasrabadi, "Kernel RX-Algorithm: A Nonlinear Anomaly Detector for Hyperspectral Imagery", IEEE Transactions on Gepscience and Remote Sensing, vol. 43, no. 2, pp. 388-397, Feb., 2005.
Lipchen A. Chan, Sandor Z. Der, and Nasser M. Nasrabadi, "A Joint Compression-Discrimination Neural Transformation applied to Target Detection," IEEE Trans. on Man and Cybernetics, vol.35, no.4, pp. 670681, August, 2005.
Sayed A. Rizvi, and N. M. Nasrabadi, "Fusion of FLIR Automatic Target Recognition Algorithms," Journal of Information Fusion, vol. 4, pp. 35-45, Sept. 2004.
Susan Young, Sandor Z. Der, and Nasser M. Nasrabadi, "Adaptive Target Detection in Forward-Looking Infrared Imagery Using the Eigenspace Separation Transform and Principal Component Analysis", Optical Engineering, vol. 43, no. 8, pp. 1767-1776, August, 2004.
Sandor Der, Lipchen A. Chan, Nasser Nasrabadi, and Heesung Kwon, "Automated Vehicle Detection in Forward-Looking Infrared Imagery", "Applied Optics, vol. 43, No. 2, pp. 333-348, Jan. 2004.
Heesung Kwon, Sandor Z. Der, and Nasser M. Nasrabadi, "Adaptive Anomaly Detection Using Subspace Separation for Hyperspectral Imagery", Optical Engineering, vol. 42, no. 11, pp. 3342-3351, Nov., 2003.
Lipchen A. Chan, Sandor Z. Der, and Nasser M. Nasrabadi, "Multi-Stage Infrared Target Detection", J. of Optical Engineering, vol. 49, No. 9, pp. 2746-2754, Sept., 2003.
Lipchen A. Chan, Sandor Z. Der, and Nasser M. Nasrabadi, "Dualband FLIR FUSION for Automatic Target Recognition", Journal of Information Fusion, no. 4, pp. 35-45, April, 2003.
Syed A. Rizvi, and N. M. Nasrabadi, "A Modular Clutter Rejection Technique for FLIR imagery Using Region-Based Principal Component Analysis", Pattern Recognition, vol. 35, pp. 2895-2904, 2002.
Heesung Kwon, Sandor Z. Der, and Nasser M. Nasrabadi, "Adaptive Multisensor Target Detection Using Feature-based Fusion", Optical Eng., vol.41, no.1, pp. 69-80, Jan., 2002.
Li, B., R. Chellappa, Q. Zheng, S. Der, N. M. Nasrabadi, and L. Wang, "Experimental Evaluation of FLIR ATR Approaches-A Comparative Study", Computer Vision and Image Understanding, Vol. 84, pp. 5-24, 2001.
Lipchen A. Chan, N. M. Nasrabadi, Don Torrieri, "Eigenspace Transfomation for Automatic Clutter Rejection", Optical Eng., Vol. 40, No. 4, pp. 564-573, April 2001.
Syed A. Rizvi, and N. M. Nasrabadi, "Neural Network algorithms for Automatic Target Recognition Using FLIR imagery: A Survey", in the special issue on Image Processing, Vision, and Pattern Recognition in the Proceedings of INSA, PINSA, Vol. 67, A, No.2, pp. 243-276, March 2001.
Syed A. Rizvi, Tarek N. Saadawi, N. M. Nasrabadi, "A Clutter Rejection Technique for FLIR Imagery Using Region Based Principal Component Analysis", Pattern Recognition, vol. 33, pp. 1931-1933, 2000.
Venkatraman, M., H. Kwon, and N. M. Nasrabadi, "Object Based SAR Image Compression Using Vector Quantization", in the IEEE Trans. Aerospace and Electronic Systems, Vol. 36, No. 4, Oct. 2000.
Lipchen A. Chan, and N. M. Nasrabadi, "Automatic Target Recognition Using Vector Quantization and Neural Networks", Optical Engineering, Vol. 38, No 12, pp. 2147-2161, Dec. 1999.
Syed A. Rizvi, L.-C. Wang, N. M. Nasrabadi, "Rate-Constrained Modular Predictive Residual Vector Quantization of Digital Images", IEEE Signal Processing Letters, Vol. 6, No. 6, June 1999.
H. Kwon, M. Venkatraman, and N. M. Nasrabadi, "Multiscale Video Compression Using Adaptive Finite-State Vector Quantization", J. of Electronics Imaging, Vol. 7, No. 4, pp. 725-738, Oct. 1998.
L-C Wang, S. A. Rizvi, and N. M. Nasrabadi, "A Modular Neural Network Vector Predictor Image Coding", IEEE Trans. on Image Processing, Vol. 7, no. 8, pp. 1198-1217, August 1998.
Wang, L-C., S. Der, N. M. Nasrabadi, "Modular Neural Network Recognition of Targets in FLIR Imagery", IEEE Trans. on Image Processing, Vol.7, no. 8, pp. 1113, 1121, August 1998.
Wang, L-C., S. Der, N. M. Nasrabadi, "Composite Classifiers for Automatic Target Recognition", Optical Engineering, Vol. 37, No. 3, March 1998.
Kown, H.-S., M. Venkatraman, N. M. Nasrabadi, "Very Low Bit Rate Video Codec Using Variable Blocksize Entropy-Constrained Residual Vector Quantizers", IEEE Trans. on Selected Areas in Communications, Vol. 15, No. 9, pp. 1714-1725, December 1997.
Chan L. A. and N. M. Nasrabadi, "An Application of Wavelet-based Vector Quantization in Target Recognition", Int. Journal on Artificial Intelligence Tools, Vol. 6, No. 2, pp. 165-178, Dec. 1997.
Kim J. S., Park S. H., P. W. Dowd, and N. M. Nasrabadi, "Cellular radio channel assignment using a modified Hopfield networks", IEEE Trans. Veh. Technol., Vol. 46, No. 4, pp. 957-967, Nov. 1997.
Rizvi, S. A., L-C Wang, and N. M. Nasrabadi, "Nonlinear Vector Prediction Using Feed-Forward Neural Networks", IEEE Trans. on Image Processing, Vol. 6, No. 10, pp. 1431-1436, Oct. 1997.
Rizvi, S. A., N. M. Nasrabadi, "Finite State Residual Vector Quantization Using a Tree-Structured Competitive Neural Network", IEEE Trans. on Circuits and Systems for Video Technology Vol. 7, No. 2, pp. 377-390, April 1997.
Yang, S. S., P. D. Scott, and N. M. Nasrabadi, "Object Recognition Using Multi-Layer Hopfield Neural Network", IEEE Trans. on Image Processing, Vol. 6, No. 1, pp. 357-372, March 1997.
Kim, J. S., Park S. H., P. W. Dowd, and N. M. Nasrabadi, "Channel assignment in cellular radio using Genetic Algorithms", Wireless Personal Communications, vol.3, no. 3, pp. 273-286, August 1996.
Rizvi, S. A., L-C Wang, and Nasser M. Nasrabadi, "Neural Network Architectures for Vector Prediction", The Proceedings of the IEEE (special issue on Applications of Artificial Neural Networks), Vol. 84, No. 10, pp. 1513-1528, Oct. 1996.
Seni, G., N. M. Nasrabadi, and R. Srihari, "Large Vocabulary Recognition of On-Line Handwritten Cursive Words", IEEE Trans. on Pattern Recognition and Machine Intelligence, Vol. 18, No. 6, pp. 757-762, July 1996.
Barnes, C. F., S. A. Rizvi, and N. M. Nasrabadi, "Recent Advances in Residual Vector Quantization: A Survey", IEEE Trans. on Image Processing, vol. 6, No. 2, pp. 226-262, Feb., 1996.
Mohsenian, N., H. Shahri, N. M. Nasrabadi, "Scalar-Vector Quantization of Medical Images", IEEE Trans. on Image Processing, vol. 6, No. 2, pp. 387-392, Feb., 1996.
Rizvi, S. A., N. M. Nasrabadi, and L-C Wang, "Entropy-Constrained Predictive Residual Vector Quantization", Optical Eng. vol. 35, no. 1, pp. 187-197, Jan. 1996.
Nasrabadi, N. M. and S. Rizvi, "Next-State Functions for FSVQ", IEEE Trans. on Image Processing, Vol. 4, No 12, pp. 1592-1601, Dec. 1995.
Rizvi, S. A. and N. M. Nasrabadi, "Predictive Residual Vector Quantization", IEEE Trans. on Image Processing, Vol. 4, No. 11, pp. 1482-1495, Nov. 1995.
Rizvi, S. A. and N. M. Nasrabadi, "An Efficient Euclidean Distance Computation for Vector Quantization Using a Truncated Look-Up Table", IEEE Trans. on Circuits and Systems for Video Technology, Vol. 5, No. 4, pp. 370-371, August 1995.
E. S. Jang, and N. M. Nasrabadi, "Sub-band Coding with Multi-stage VQ for Wireless Image Communications", IEEE Trans. on Circuits and Systems for Video Technology, Vol. 5, No. 3, pp. 247-253, June 1995.
Grant BJB, Wang L-C, Nasrabadi NM, Weg JG and Stein PD., “Noninvasive diagnosis of acute pulmonary embolism by recursive partitioning,” Am. J. Resp. Crit. Care Med., 151:A632, 1995.
Rizvi, S. A. and N. M. Nasrabadi, "Variable-Rate Predictive Residual Vector Quantizer", IEEE Trans. on Signal Processing Letters, Vol. 2, No. 4, pp. 70-72, April 1995.
Rizvi, S. A. and N. M. Nasrabadi, "Residual Vector Quantization Using a Multilayer Competitive Neural Networks", IEEE Trans. on Selected Area of Communications, vol., 12, No. 9, pp. 1452-1459, Dec. 1994.
Nasrabadi, N. M., C. Y. Choo and Y. Feng, "Dynamic Finite State Vector Quantization", IEEE Trans. on Communications, Vol. No. pp. 2145-2154, May of 1994.
Mohsenian, N. and N. M. Nasrabadi, "Edge-Based Subband VQ Techniques for Images and Video",IEEE Trans. on Circuits and Systems for Video Technology, Vol.4, No.1, pp. 53-67, Feb., 1994. Rizvi, S. A. and N. M. Nasrabadi, "Residual Vector Quantization Design Using Constrained Optimization", IEEE Trans. on Signal Processing Letters, Vol. 1, No. 1, pp. 15-18, Jan. 1994.
Polit, P. and N. M. Nasrabadi, "A New Transform Domain VQ Technique for Image Data Compression in an Asynchronous Transfer Mode Network", in J. of Visual Communication and Image Representation, Vol. 1, No. 1, Jan. 1, 1994.
Li, W. and N. M. Nasrabadi, "Invariant Object Recognition Based on a Neural Network of Cascaded RCE Nets", Int. J. Pattern Recognition and Artificial Intelligence, Vol. 7, No. 4, pp. 815-829, August 1993.
Mohsenian, N., S. A. Rizvi and N. M. Nasrabadi, "Predictive Vector Quantization Using a Neural Network Approach", J. Optical Eng. Special Issue on Visual Communications, Vol. 32, No. 7, pp. 1503-1513, July 1993.
Mohsenian, N. and N. M. Nasrabadi, "A Composite Predictive Vector Quantizer for Encoding Still Images", J. of Electronic Imaging, Vol. 1, No. 3, pp. 313-321, July 1992.
Nasrabadi, N. M., "Stereo Correspondence Using Curve-segments and Relaxation", IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 14, No. 5, pp. 566-572, May 1992.
Nasrabadi, N. M., J. U. Roy and C. Y. Choo, "An Interframe Hierarchical Address-Vector Quantization", IEEE Trans. Journal on Selected Areas in Communications, Vol.10, No.5, pp. 960-967, June 1992.
Nasrabadi, N. M. and C. Y. Choo, "Hopfield Network for Stereo Correspondence", IEEE Trans. on Neural Networks, Vol. 3, No. 1, pp. 1-9, January 1992.
Nasrabadi, N. M. and W. Li, "Object Recognition by a Hopfield Neural Network", IEEE Trans. on Systems, Man and Cybernetics, Vol. 21, No. 06, pp.1-13, Nov-Dec., 1991.
Feng, Y. and N. M. Nasrabadi, "Static and Dynamic Address-Vector Quantization of RGB-Color Images", IEE Proceedings-I Communications, Speech and Vision, Vol. 138, No. 4, pp. 225-231, August 1991.
Feng, Y., N. M. Nasrabadi and C. Y. Choo, "A Self-organizing Vector Quantization Technique", J. of Visual Communication and Image Representation, No. 2, Vol. 2, pp. 129-137, June 1991.
Roy, J.U. and N. M. Nasrabadi, "Hierarchical Block Truncation Coding", Journal of Optical Eng., Vol. 30, No. 6, pp. 551-556, May 1991.
Nasrabadi, N. M., C. Y. Choo, T. Harries and J. Smallcomb, "Hierarchical Block Truncation Coding of Digital HDTV Images", IEEE Trans. on Consumer Electronics, Vol. 36, No. 3, pp. 254-261, August 1990.
Nasrabadi, N. M. and Y. Feng, "Image Compression Using Address-Vector Quantization", IEEE Trans. on Communications, Vol. 38, No. 11, pp. 2166-2173, Dec. 1990.
Nasrabadi, N. M. and C. Y. Choo, "Design and Analysis of Two-channel High-definition Television Systems", IEEE Trans. on Broadcasting, Vol. 36, No. 2, pp. 175-183, June 1990.
Nasrabadi, N. M. and Y. Feng, "A Multi-Layer Address-Vector Quantization", IEEE Trans. on Circuits and Systems, Vol. CAS-37, No. 7, pp. 912-921, July 1990.
Nasrabadi, N. M., and Y. Liu, "Stereo Vision Correspondence Using a Multi-channel Graph Matching Technique", J. Image and Vision Computing, Vol. 7, No. 4, pp. 237-245, Nov. 1989.
Nasrabadi, N. M., S. Clifford and Y. Liu, "Integration of Stereo Vision and Optical Flow", J. Opt. Soc. Am. A, Vol. 6, No. 6, pp. 900-907, June 1989.
Nasrabadi, N. M., S. Lin and Y. Feng, "Interframe Hierarchical Vector Quantization", J. of Optical Engineering, Vol. 28, No. 7, pp. 717-725, July 1989.
Nasrabadi, N. M. and R. A. King, "Image Coding Using Vector Quantization: A Review", IEEE Trans. on Communications, Vol. 36, No. 8, pp. 957-971, August 1988.
Nasrabadi, N. M. and R. A. King, "Interframe Coding of Moving Image Sequences", Photogrammetria, Vol. 39, pp. 143-154, 1984.
Nasrabadi, N. M. and R. A. King, "Fast Digital Convolution using P-Adic Transforms", Electronics Letters, Vol. 19, No. 7, pp. 266, March 31, 1983.
Nasrabadi, N. M. and R. A. King, "Image Coding Using Vector Quantization in the Transform Domain", Pattern Recognition Letters, pp. 323, July 1, 1983.
Nasrabadi, N. M. and R. A. King, "Entropy-Coded Hybrid Differential Pulse-Code Modulation", Electronics Letters, Vol. 19, No. 2, pp. 83, January 20, 1983.
Nasrabadi, N. M. and R. A. King, "Computationally Efficient Discrete Cosine Transform Algorithms", Electronics Letters, Vol. 19, No. 1, pp. 24, January 6, 1983.

Dr. Nasrabadi's Google Scholar profile:

scholar.google.com/citations?user=PNhUilMAAAAJ&hl=en

Dr. Nasrabadi's ResearchGate profile:

www.researchgate.net/profile/NM_Nasrabadi

Dr. Nasrabadi's publication list in Computer Science Bibliography:

dblp.uni-trier.de/pers/hd/n/Nasrabadi:Nasser_M=

​

LIST OF JOURNAL PUBLICATIONS:

​

Amirsina Torfi, SM Iranmanesh, Nasser M. Nasrabadi, Jeremy Dawson, “3D Convolutional Neural Networks for Cross Audio-Visual Matching Recognition,” IEEE Access, vol. 5, pp. 22081-22091, 2017.

Tianpei Xie, Nasser M. Nasrabadi, Alfred O. Hero III, “Learning to Classify with Possible Sensor Failures,” IEEE Transactions on Signal Processing, vol. 65, no.4, pp. 836-849, 2017.

Minh Dao, Nam Nguyen, Nasser M. Nasrabadi, Trac D. Tran, “Multi-Sensor Classification via Joint Sparse Representation for discriminating between human and animal footsteps,” IEEE Transactions on Signal Processing, IEEE Transactions on Signal Processing, Vol. 64, No. 9, pp. 2400-2415, May 2016.

Soheil Bahrampour, Nasser M. Nasrabadi, Asok Ray, Kenneth W. Jenkins, “Multimodal Task-Driven Dictionary Learning,” IEEE Transactions on Image Processing, Vol. 25, No. 1, pp. 24-38 Jan. 2016.

Benjamin S. Riggan, Christophor Reale, Nassser M. Nasrabadi, “Coupled Auto-Associative Neural Networks for Heterogeneous Face Recognition,” IEEE Access, vol. 3, pp. 1620-1632, Oct. 2015.

Xiaoxia Sun, Qing Qu, Nasser M. Nasrabadi, Trac D. Tran, “Task-driven Dictionary Learning for Hyperspectral Image Classification with Structured Sparsity Priors,” IEEE Trans. On Geoscience and Remote Sensing, Vol. 53, No. 8, pp. 4457-4471, Aug., 2015.

Zhangyang Wang, Nasser M. Nasrabadi, Thomas S. Huang, “Semi-supervised Hyperspectral Classification Using Task-driven Dictionary Learning with Laplacian Regularization,” IEEE Transactions on Geoscience and Remote Sensing, Vol.53, No.3, pp. 1161-1173, March 2015.

Umamahesh Srinivas, Nasser M. Nasrabadi, Vishal Monga, “Graph-based Sensor Fusion for Classification of Transient Acoustic Signals,” IEEE Transactions on Cybernetics, Vol.45, No.3, pp. 576-586, March 2015.

Zhaowen Wang, Nasser M. Nasrabadi, Thomas Huang, “Spatial-spectral Classification of Hyperspectral Images using Discriminative Dictionary Designed by Learning Vector Quantization,” IEEE Trans. On Geoscience and Remote Sensing, Vol. 52, No. 8, pp. 4808-4822, August 2014.

Xiaoxia Sun, Qing Qu, Nasser M. Nasrabadi, Trac D. Tran, “Structured Priors for Sparse Representation Based Hyperspectral Image Classification,” IEEE Geoscience and Remote Sensing Letter, vol.11, no. 7, pp. 1235-1235, July. 2014.

Qing Qu, Nasser M. Nasrabadi, Trac D. Tran, “Abundance Estimation for Bilinear mixture models via joint sparse and low rank representations,” IEEE Trans. On Geoscience and Remote Sensing, Vol. 52, No. 7, pp.4404-4422, July 2014.

Nasser M. Nasrabadi, “Hyperspectral Target Detection: An Overview of Current and Future Challenges,” IEEE Signal Processing Magazine, vol.31, no.1, pp. 34-44, Jan. 2014.

Vishal M. Patel, Glenn R. Easley, Nasser M. Nasrabadi, and Rama Chellappa, “Separated Component-Based Restoration of Speckled SAR Images,” IEEE Trans. On Geoscience and Remote Sensing, Vol. 52, No. 2, pp. 1019-1029, Feb. 2014.

Sumit Shekhar, Vishal M. Patel, Nasser M. Nasrabadi and Rama Chellappa, "Joint sparse representation for robust multimodal biometrics recognition," IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 36, No. 1, pp. 1019-1029, Feb. 2014.

Soheil Bahrampour, Asok Ray, Soumalya Sarkar, Thyagaraju Damarla, Nasser M. Nasrabadi, “Performance Comparison of Feature Extraction Algorithms for Target Detection and Classification,” Pattern recognition Letters, vol.34, pp.2126-2134, 2013.

Jos´e M. Bioucas-Dias, Antonio Plaza, Gustavo Camps-Valls, Paul Scheunders, Nasser Nasrabadi, and Jocelyn Chanussot, “Hyperspectral Remote Sensing Data Analysis and Future Challenges,” IEEE Geoscience and Remote Sensing Magazine, Vol. 1, no. 2, pp. 6-36, 26 June 2013.

Umamahesh Srinivas, Yi Chen, Vishal Monga, Nasser M. Nasrabadi, Trac D. Tran, “Exploiting Sparsity in Hyperspectral Image Classification via Graphical Models, ”IEEE Geoscience and Remote Sensing Letters, vol.10, No.3, pp. 505-509, May 2013.

Yi Chen, Nasser M. Nasrabadi, Trac D. Tran, “Hyperspectral image classification Via Kernel Sparse,” IEEE Trans. On Geoscience and Remote Sensing, Vol.51 No.1, pp.431-440, Jan. 2013.

Haichao Zhang, Nasser M. Nasrabadi, Yanning Zhang, Thomas S. Huang “Multi-Metric Learning for Multi-Sensor Fusion Based Classification,” Information Fusion, Vol.14 No.4, pp.431-440, Oct. 2013.

Haichao Zhang, Nasser M. Nasrabadi, Yanning Zhang, Thomas S. Huang, “Joint Dynamic Sparse Representation for Multi-view Face Recognition,” Pattern Recognition, Vol.45 No.4, pp. 1290-1298, April 2012.

Haichao Zhang, Nasser M. Nasrabadi, Yanning Zhang, Thomas S. Huang, “Multi-View Automatic Target Recognition Using Joint Sparse Representation,” IEEE Trans. On Aerospace and Electronic Systems, vol.48, no. 3, pp. 2481 – 2497, July 2012.

Haichao Zhang, Nasser M. Nasrabadi, Thomas S. Huang, Yanning Zhang, “Joint Structured Sparsity Acoustic Signal Classification,” IEEE Trans. On Systems, Man and Cybernetics, Part B, Vol.42, No. 6, pp.1586-1598, Dec. 2012.

Yi Chen, Nasser M. Nasrabadi, and Trac D. Tran, "Effects of linear projections on the performance of target detection and classification in hyperspectral imagery" J. Appl. Remote Sens. 5, 053563 (2011), DOI:10.1117/1.3659894

Yi Chen, Nasser M. Nasrabadi, Trac D. Tran, “Hyperspectral image classification using dictionary-based sparse representation”, IEEE Trans. On Geoscience and Remote Sensing, Vol.49. No.10, pp. 3973-3985, October, 2011.

Yi Chen, Nasser M. Nasrabadi, Trac D. Tran, “Sparse Representation for Target Detection in Hyperspectral Images,” IEEE Journal of Selected Topics in Signal Processing, vol. 5, No. 3, pp 629-640, June, 2011.

Yi Chen, Nasser M. Nasrabadi, Trac D. Tran, “Simultaneous Joint Sparse Model for Target Detection in Hyperspectral Images, ”IEEE Geoscience and Remote Sensing Letters, vol.8, No.4, pp. 676-680, July 2011.

Vishal M. Patel, Nasser M. Nasrabadi, Rama Chellappa, “Sparsity Motivated Automatic Target Recognition,” Applied Optics, Vol. 50, No.11, pp. 1425-1433, April 2011.

Nasser M. Nasrabadi, Asif Mehmood, “Kernel Wavelet-RX: An Anomaly Detection for FLIR Imagery,” Applied Optics, Vol.50, No.17, pp.2744-2751, June 2011.

Nasser M. Nasrabadi, Asif Mehmood, “Wavelet-RX Anomaly Detection for Dual-band FLIR Imagery,” Applied Optics, Vol. 49 Issue 24, pp.4621-4632, 2010.

Michael T. Eismann, Alan D. Stocker, and Nasser M. Nasrabadi, “Automated Hyperspectral Cueing for Civilian Search and Rescue,” the Proceedings of the IEEE, Vol. 97, No. 6, pp. 1030-1055 June 2009.

Lance Kaplan and Nasser M. Nasrabadi, “Block Wiener-based Image Registration for Moving Target Indication,” in J. of Image and Vision Computing, March 27, pp. 694-703, 2009.

Nasser M. Nasrabadi, “Regularized Spectral Matched Filter for Target Detection in Hyperspectral Imagery,” IEEE Signal Processing Letters, Vol.15 pp.317-320, 2008.

Heesung Kwon, Nasser M. Nasrabadi and Patti Gillespie, "Nonlinear Chemical Plume Detection Using Kernel-based Matched Subspace Detectors," Int. J. of High Speed and Systems, vol. 17, no. 4, pp. 813-826, Dec. 2007.

Hirsh Goldberg, Heesung Kwon and Nasser M. Nasrabadi, “Kernel Eigen­space Separation Transform,” IEEE Trans. On Gepscience and Remote Sensing Letters, vol. 4. no. 4, pp. 581-585, Oct., 2007.

Nasser M. Nasrabadi, Maria Tates, and Heesung Kwon, “Change Detection Methods for Identification of Mines in SAR Imagery,” J. of Applied Remote Sensing, Vol.1, 013525, Aug. 07 2007.

Maria Tates, Nasser M. Nasrabadi, Heesung Kwon, “Mine Detection in Averaged Multilook SAR Imagery Using Change Detection Methods,” WSEAS Transactions on Signal Processing, Issue 5, Vol. 2, pp. 710-718, May 2006

Heesung Kwon, and Nasser M. Nasrabadi, "Kernel Spectral Matched Filter for Hyperspectral Imagery," J. of Computer Vision, Vol. 71, No. 2, pp. 123-253, Feb. 2007.

Heesung Kwon, and Nasser M. Nasrabadi, "Kernel Adaptive Subspace Detector for Hyperspectral Imagery," IEEE Trans. on Gepscience and Remote Sensing Letters, Vol. 3, No. 2, pp.271-275, April 2006.

Heesung Kwon, and Nasser M. Nasrabadi, "Kernel Matched Subspace Detectors for Hyperspectral Target Detection," IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 28, no. 2, pp. 178-194, Feb. 2006.

Heesung Kwon, and Nasser M. Nasrabadi, "Kernel Orthogonal Subspace Projection for Hyperspectral Target Classification", the IEEE Geoscience and Remote Sensing, vol. 43, No. 12, pp. 2952-2962, Dec. 2005.

Heesung Kwon, and Nasser M. Nasrabadi, "Kernel RX-Algorithm: A Nonlinear Anomaly Detector for Hyperspectral Imagery", IEEE Transactions on Gepscience and Remote Sensing, vol. 43, no. 2, pp. 388-397, Feb., 2005.

Lipchen A. Chan, Sandor Z. Der, and Nasser M. Nasrabadi, "A Joint Compression-Discrimination Neural Transformation applied to Target Detection," IEEE Trans. on Man and Cybernetics, vol.35, no.4, pp. 670681, August, 2005.

Sayed A. Rizvi, and N. M. Nasrabadi, "Fusion of FLIR Automatic Target Recognition Algorithms," Journal of Information Fusion, vol. 4, pp. 35-45, Sept. 2004.

Susan Young, Sandor Z. Der, and Nasser M. Nasrabadi, "Adaptive Target Detection in Forward-Looking Infrared Imagery Using the Eigenspace Separation Transform and Principal Component Analysis", Optical Engineering, vol. 43, no. 8, pp. 1767-1776, August, 2004.

Sandor Der, Lipchen A. Chan, Nasser Nasrabadi, and Heesung Kwon, "Automated Vehicle Detection in Forward-Looking Infrared Imagery", "Applied Optics, vol. 43, No. 2, pp. 333-348, Jan. 2004.

Heesung Kwon, Sandor Z. Der, and Nasser M. Nasrabadi, "Adaptive Anomaly Detection Using Subspace Separation for Hyperspectral Imagery", Optical Engineering, vol. 42, no. 11, pp. 3342-3351, Nov., 2003.

Lipchen A. Chan, Sandor Z. Der, and Nasser M. Nasrabadi, "Multi-Stage Infrared Target Detection", J. of Optical Engineering, vol. 49, No. 9, pp. 2746-2754, Sept., 2003.

Lipchen A. Chan, Sandor Z. Der, and Nasser M. Nasrabadi, "Dualband FLIR FUSION for Automatic Target Recognition", Journal of Information Fusion, no. 4, pp. 35-45, April, 2003.

Syed A. Rizvi, and N. M. Nasrabadi, "A Modular Clutter Rejection Technique for FLIR imagery Using Region-Based Principal Component Analysis", Pattern Recognition, vol. 35, pp. 2895-2904, 2002.

Heesung Kwon, Sandor Z. Der, and Nasser M. Nasrabadi, "Adaptive Multisensor Target Detection Using Feature-based Fusion", Optical Eng., vol.41, no.1, pp. 69-80, Jan., 2002.

Li, B., R. Chellappa, Q. Zheng, S. Der, N. M. Nasrabadi, and L. Wang, "Experimental Evaluation of FLIR ATR Approaches-A Comparative Study", Computer Vision and Image Understanding, Vol. 84, pp. 5-24, 2001.

Lipchen A. Chan, N. M. Nasrabadi, Don Torrieri, "Eigenspace Transfomation for Automatic Clutter Rejection", Optical Eng., Vol. 40, No. 4, pp. 564-573, April 2001.

Syed A. Rizvi, and N. M. Nasrabadi, "Neural Network algorithms for Automatic Target Recognition Using FLIR imagery: A Survey", in the special issue on Image Processing, Vision, and Pattern Recognition in the Proceedings of INSA, PINSA, Vol. 67, A, No.2, pp. 243-276, March 2001.

Syed A. Rizvi, Tarek N. Saadawi, N. M. Nasrabadi, "A Clutter Rejection Technique for FLIR Imagery Using Region Based Principal Component Analysis", Pattern Recognition, vol. 33, pp. 1931-1933, 2000.

Venkatraman, M., H. Kwon, and N. M. Nasrabadi, "Object Based SAR Image Compression Using Vector Quantization", in the IEEE Trans. Aerospace and Electronic Systems, Vol. 36, No. 4, Oct. 2000.

Lipchen A. Chan, and N. M. Nasrabadi, "Automatic Target Recognition Using Vector Quantization and Neural Networks", Optical Engineering, Vol. 38, No 12, pp. 2147-2161, Dec. 1999.

Syed A. Rizvi, L.-C. Wang, N. M. Nasrabadi, "Rate-Constrained Modular Predictive Residual Vector Quantization of Digital Images", IEEE Signal Processing Letters, Vol. 6, No. 6, June 1999.

H. Kwon, M. Venkatraman, and N. M. Nasrabadi, "Multiscale Video Compression Using Adaptive Finite-State Vector Quantization", J. of Electronics Imaging, Vol. 7, No. 4, pp. 725-738, Oct. 1998.

L-C Wang, S. A. Rizvi, and N. M. Nasrabadi, "A Modular Neural Network Vector Predictor Image Coding", IEEE Trans. on Image Processing, Vol. 7, no. 8, pp. 1198-1217, August 1998.

Wang, L-C., S. Der, N. M. Nasrabadi, "Modular Neural Network Recognition of Targets in FLIR Imagery", IEEE Trans. on Image Processing, Vol.7, no. 8, pp. 1113, 1121, August 1998.

Wang, L-C., S. Der, N. M. Nasrabadi, "Composite Classifiers for Automatic Target Recognition", Optical Engineering, Vol. 37, No. 3, March 1998.

Kown, H.-S., M. Venkatraman, N. M. Nasrabadi, "Very Low Bit Rate Video Codec Using Variable Blocksize Entropy-Constrained Residual Vector Quantizers", IEEE Trans. on Selected Areas in Communications, Vol. 15, No. 9, pp. 1714-1725, December 1997.

Chan L. A. and N. M. Nasrabadi, "An Application of Wavelet-based Vector Quantization in Target Recognition", Int. Journal on Artificial Intelligence Tools, Vol. 6, No. 2, pp. 165-178, Dec. 1997.

Kim J. S., Park S. H., P. W. Dowd, and N. M. Nasrabadi, "Cellular radio channel assignment using a modified Hopfield networks", IEEE Trans. Veh. Technol., Vol. 46, No. 4, pp. 957-967, Nov. 1997.

Rizvi, S. A., L-C Wang, and N. M. Nasrabadi, "Nonlinear Vector Prediction Using Feed-Forward Neural Networks", IEEE Trans. on Image Processing, Vol. 6, No. 10, pp. 1431-1436, Oct. 1997.

Rizvi, S. A., N. M. Nasrabadi, "Finite State Residual Vector Quantization Using a Tree-Structured Competitive Neural Network", IEEE Trans. on Circuits and Systems for Video Technology Vol. 7, No. 2, pp. 377-390, April 1997.

Yang, S. S., P. D. Scott, and N. M. Nasrabadi, "Object Recognition Using Multi-Layer Hopfield Neural Network", IEEE Trans. on Image Processing, Vol. 6, No. 1, pp. 357-372, March 1997.

Kim, J. S., Park S. H., P. W. Dowd, and N. M. Nasrabadi, "Channel assignment in cellular radio using Genetic Algorithms", Wireless Personal Communications, vol.3, no. 3, pp. 273-286, August 1996.

Rizvi, S. A., L-C Wang, and Nasser M. Nasrabadi, "Neural Network Architectures for Vector Prediction", The Proceedings of the IEEE (special issue on Applications of Artificial Neural Networks), Vol. 84, No. 10, pp. 1513-1528, Oct. 1996.

Seni, G., N. M. Nasrabadi, and R. Srihari, "Large Vocabulary Recognition of On-Line Handwritten Cursive Words", IEEE Trans. on Pattern Recognition and Machine Intelligence, Vol. 18, No. 6, pp. 757-762, July 1996.

Barnes, C. F., S. A. Rizvi, and N. M. Nasrabadi, "Recent Advances in Residual Vector Quantization: A Survey", IEEE Trans. on Image Processing, vol. 6, No. 2, pp. 226-262, Feb., 1996.

Hirsh Goldberg, Heesung Kwon and Nasser M. Nasrabadi, “Kernel Eigenspace Separation Transform,” IEEE Trans. On Gepscience and Remote Sensing Letters, vol. 4. no. 4, pp. 581-585, Oct., 2007.