Information-theoretic bounds on target recognition performance based on degraded image data

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 24, Issue 9, 2002, Pages 1153-1166

  Jain, Avinash ^b   Moulin, Pierre ^a,c   Miller, Michael I ^a,d   Ramchandran, Kannan ^a,e  

^a IEEE

^b QUALCOMM INC   (United States)

^c University of Illinois at Urbana Champaign   (United States)

^d JOHNS HOPKINS UNIVERSITY   (United States)

^e UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Automatic target recognition; Data compression; Imaging sensors; Multisensor data fusion; Object recognition; Performance metrics

Indexed keywords

AUTOMATIC TARGET RECOGNITION; IMAGE COMPRESSION; IMAGE SENSORS; PROBABILITY; REMOTE SENSING; SENSOR DATA FUSION; STATISTICAL METHODS;

DEGRADED IMAGE DATA;

OBJECT RECOGNITION;

EID: 0036708976     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2002.1033209     Document Type: Article

References (28)

1. J.A. Ratches, C.P. Walters, R.G. Buser, and B.D. Guenther, "Aided and Automatic Target Recognition Based upon Sensory Inputs from Image Forming Systems," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 19, no. 9, pp. 1004-1019, Sept. 1997.
2. IEEE Trans. Image Processing, special issue on automatic target recognition, vol. 6, no. 1, Jan. 1997.
3. H.V. Poor, An Introduction to Signal Detection and Estimation. New York: Springer-Verlag, 1994.
4. K. Fukunaga, Statistical Pattern Recognition. Boston: Academic Press, 1990.
5. M.I. Miller, U. Grenander, J. O'Sullivan, and D. Snyder, "Automatic Target Recognition via Jump-Diffusion Algorithms," IEEE Trans. Image Processing, vol. 6, no. 1, pp. 157-174, Jan. 1997.
6. U. Grenander, M.I. Miller, and A. Srivastava, "Hilbert-Schmidt Lower Bounds for Estimators on Matrix Lie Groups for ATR," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 20, no. 8, pp. 790-802, Aug. 1998.
7. A.D. Lanterman, J.A. O'Sullivan, and M.I. Miller, "Kullback-Leibler Distances for Quantifying Clutter and Models," Optical Eng., vol. 38, no. 2, pp. 2134-2146, Dec. 1999.
8. M. Lindenbaum, "Bounds on Shape Recognition Performance," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 17, no. 7, pp. 666-680, July 1995.
9. S.R.F. Sims, "Data Compression Issues in Automatic Target Recognition and the Measuring of Distortion," Optical Eng., vol. 36, no. 10, pp. 2671-2674, Oct. 1997.
10. S. Jana and P. Moulin, "Optimal Design of Transform Coders for Image Classification," Proc. Conf. Information Systems and Science, Mar. 1999.
11. T.M. Cover and J. Thomas, Elements of Information Theory, New York: John Wiley & Sons, 1991.
12. R.O. Duda, P.E. Hart, and D.G. Stork, Pattern Classification, 2001.
13. S.M. Ali and S.D. Silvey, "A General Class of Coefficients of Divergence of One Distribution from Another," J. Royal Statistics Soc., vol. 28, pp. 132-142, 1966.
14. A. Gersho and R.M. Gray, Vector Quantization and Signal Compression. Boston: Kluwer, 1992.
15. S.A. Kassam, "Optimal Quantization for Signal Detection," IEEE Trans. Comm., vol. 25, pp. 479-484, May 1977.
16. H.V. Poor and J.B. Thomas, "Applications of Ali-Silvey Distance Measures in the Design of Generalized Quantizers for Binary Decision Systems," IEEE Trans. Comm., vol. 25, pp. 893-900, Sept. 1977.
17. A. Jain, "Image Reconginition from Compressed Data: Performance Analysis," Masters thesis, Dept. of Electrical and Computer Eng., Univ. of Illinois at Urbana-Champaign, Aug. 1999.
18. S.G. Mallat, A Wavelet Tour of Signal Processing. San Diego, Calif.: Academic Press, 1998.
19. H.L. Van Trees, Detection, Estimation, and Modulation Theory. New York: Wiley, 1968.
20. W. Feller, An Introduction to Probability Theory and Its Applications, second ed., vol. II. New York: Wiley, 1971.
21. J.A. Bucklew, Large Deviation Techniques in Decision, Simulation, and Estimation. New York: Wiley, 1990.
22. R.T. Rockefellar, Convex Analysis. Princeton, N.J.: Princeton Univ. Press, 1972.
23. E.L. Lehmann, Testing Statistical Hypotheses, second ed. New York: Springer-Verlag, 1986.
24. J.O. Berger, Bayesian Decision Theory. Springer-Verlag, 1984.
25. B.S. Clarke and A.R. Barton," Information-Theoretic Asymptotics of Bayes Methods," IEEE Trans. Information Theory, vol. 36, no. 3, pp. 453-471, May 1990.
26. S. LoPresto, K. Ramchandran, and M.T. Orchard, Proc. IEEE Data Compression Conf., 1997.
27. M.K. Mihçak, I. Kozintsev, K. Ramchandran, and P. Moulin, "Low-Complexity Image Denoising Based on Statistical Modeling of Wavelet Coefficients," IEEE Signal Processing Letters, vol. 6, no. 12, pp. 300-303, 1999.
28. J.G. Proakis, Digital Communications, New York: McGraw-Hill, 1995.