Recognition performance from synthetic aperture radar imagery subject to system resource constraints

RECOGNITION PERFORMANCE FROM SYNTHETIC APERTURE RADAR IMAGERY SUBJECT TO SYSTEM RESOURCE CONSTRAINTS by Michael D. DeVore ADVISOR: Professor Joseph A. O’Sullivan

[1]  Joseph A. O'Sullivan,et al.  The use of maximum likelihood estimation for forming images of diffuse radar targets from delay-Doppler data , 1989, IEEE Trans. Inf. Theory.

[2]  Steven Schmidt,et al.  Validation of a χ2 model of HRR target RCS variability and verification of the resulting ATR performance model , 2001, SPIE Defense + Commercial Sensing.

[3]  N. L. Johnson,et al.  Systems of frequency curves generated by methods of translation. , 1949, Biometrika.

[4]  Michael I. Miller,et al.  Rate-distortion theory applied to automatic object recognition , 2000, IEEE Trans. Inf. Theory.

[5]  Joseph A. O'Sullivan,et al.  Automatic target recognition using sequences of high resolution radar range-profiles , 2000, IEEE Trans. Aerosp. Electron. Syst..

[6]  Thomas L. Marzetta,et al.  EM algorithm for estimating the parameters of a multivariate complex Rician density for polarimetric SAR , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[7]  Alan S. Willsky,et al.  Multiresolution approach to discriminating targets from clutter in SAR imagery , 1995, Defense, Security, and Sensing.

[8]  Joseph A. O'Sullivan,et al.  A method of sieves for multiresolution spectrum estimation and radar imaging , 1992, IEEE Trans. Inf. Theory.

[9]  Lance Kaplan,et al.  Analysis of multiplicative speckle models for template-based SAR ATR , 2001 .

[10]  Harry L. Van Trees,et al.  Detection, Estimation, and Modulation Theory: Radar-Sonar Signal Processing and Gaussian Signals in Noise , 1992 .

[11]  Timothy D. Ross,et al.  SAR ATR: so what's the problem? An MSTAR perspective , 1999, Defense, Security, and Sensing.

[12]  J.A. O'Sullivan,et al.  Analytical and experimental performance-complexity tradeoffs in ATR , 2000, Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154).

[13]  Leslie M. Novak,et al.  Performance of 10- and 20-target MSE classifiers , 2000, IEEE Trans. Aerosp. Electron. Syst..

[14]  Frank E. Grubbs,et al.  An Introduction to Probability Theory and Its Applications , 1951 .

[15]  T. S. Edrington.  The Amplitude Statistics of Aircraft Radar Echoes , 1965, IEEE Transactions on Military Electronics.

[16]  R. D'Agostino.  Transformation to normality of the null distribution of g1 , 1970 .

[17]  Mark A. Franklin,et al.  Relationships between computational system performance and recognition system performance , 2001, SPIE Defense + Commercial Sensing.

[18]  Joseph A. O'Sullivan,et al.  Performance-complexity tradeoffs for several approaches to ATR from SAR images , 2000, SPIE Defense + Commercial Sensing.

[19]  DAVID G. KENDALL,et al.  Introduction to Mathematical Statistics , 1947, Nature.

[20]  J. Tukey.  Discussion, Emphasizing the Connection Between Analysis of Variance and Spectrum Analysis* , 1961 .

[21]  F. J. Anscombe,et al.  Distribution of the Kurtosis Statistic b2 for Normal Samples. , 1983 .

[22]  Lee C. Potter,et al.  Attributed scattering centers for SAR ATR , 1997, IEEE Trans. Image Process..

[23]  N. R. Goodman.  Statistical analysis based on a certain multivariate complex Gaussian distribution , 1963 .

[24]  Joseph A. O'Sullivan,et al.  A Performance Complexity Study of Several Approaches to Automatic Target Recognition from Synthetic Aperture Radar Images , 1999 .

[25]  David A. Patterson,et al.  Computer Architecture: A Quantitative Approach , 1969 .

[26]  Peter Swerling.  Detection of fluctuating pulsed signals in the presence of noise , 1957, IRE Trans. Inf. Theory.

[27]  Joseph A. O'Sullivan,et al.  Automatic target recognition using high-resolution radar range-profiles , 1997 .

[28]  Jess Marcum,et al.  A statistical theory of target detection by pulsed radar , 1948, IRE Trans. Inf. Theory.

[29]  K. Pearson.  Biometrika , 1902, The American Naturalist.

[30]  A. M. Mathai.  Storage capacity of a dam with gamma type inputs , 1982 .

[31]  Rory A. Fisher,et al.  The Moments of the Distribution for Normal Samples of Measures of Departure from Normality , 1930 .

[32]  Joseph A. O'Sullivan,et al.  Stochastic models and performance bounds for pose estimation using high-resolution radar data , 1998, Defense, Security, and Sensing.

[33]  John A. Richards,et al.  Expectation-maximization approach to target model generation from multiple SAR images , 2000, SPIE Defense + Commercial Sensing.

[34]  W. R. Buckland,et al.  Advanced Theory of Statistics Volume 1. , 1970 .

[35]  Kenneth S. Miller,et al.  Complex Linear Least Squares , 1973 .

[36]  Eric R. Keydel,et al.  Signature prediction for model-based automatic target recognition , 1996, Defense, Security, and Sensing.

[37]  Dan E. Dudgeon,et al.  ATR Performance Modeling and Estimation , 2000, Digit. Signal Process..

[38]  G. J. Owirka,et al.  Automatic target recognition using enhanced resolution SAR data , 1999 .

[39]  Yoram Baram,et al.  Partial Classification: The Benefit of Deferred Decision , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[40]  Michael Lee Bryant,et al.  MSE template size analysis for MSTAR data , 1998, Defense, Security, and Sensing.

[41]  M. Glas,et al.  Principles of Computerized Tomographic Imaging , 2000 .

[42]  Timothy D. Ross,et al.  Evaluation of SAR ATR algorithm performance sensitivity to MSTAR extended operating conditions , 1998, Defense, Security, and Sensing.

[43]  L. Shenton,et al.  A Bivariate Model for the Distribution of √b1 and b2 , 1977 .

[44]  Joseph A. O'Sullivan,et al.  Statistical assessment of model fit for synthetic aperture radar data , 2001, SPIE Defense + Commercial Sensing.

[45]  Michael I. Miller,et al.  Asymptotic performance analysis of Bayesian target recognition , 2000, IEEE Trans. Inf. Theory.

[46]  E. S. Pearson,et al.  Tests for departure from normality. Empirical results for the distributions of b2 and √b1 , 1973 .

[47]  Edward B. Manoukian,et al.  Mathematical nonparametric statistics , 1986 .

[48]  N. Giri,et al.  On the Complex Analogues of $T^2$- and $R^2$-Tests , 1965 .

[49]  K. S. Miller,et al.  Complex Gaussian Processes , 1969 .

[50]  Natalia A. Schmid,et al.  Performance analysis in stochastic recognition and authentication , 2000 .

[51]  Michael Lee Bryant,et al.  Standard SAR ATR evaluation experiments using the MSTAR public release data set , 1998, Defense, Security, and Sensing.

[52]  John Wissinger,et al.  Search algorithms for model-based SAR ATR , 1996, Defense, Security, and Sensing.

[53]  G. J. Owirka,et al.  Template-based SAR ATR performance using different image enhancement techniques , 1999, Defense, Security, and Sensing.

[54]  Stuart J. Russell,et al.  Do the right thing - studies in limited rationality , 1991 .

[55]  E. Jakeman,et al.  A model for non-Rayleigh sea echo , 1976 .

[56]  N. L. Johnson,et al.  Continuous Univariate Distributions. , 1995 .

[57]  D. Munson,et al.  A tomographic formulation of spotlight-mode synthetic aperture radar , 1983, Proceedings of the IEEE.

[58]  Glenn R. Heidbreder,et al.  Detection Probabilities for Log-Normally Distributed Signals , 1967, IEEE Transactions on Aerospace and Electronic Systems.

[59]  Joseph A. O'Sullivan,et al.  ATR performance of a Rician model for SAR images , 2000, SPIE Defense + Commercial Sensing.

[60]  Edmund G. Zelnio,et al.  Algorithms for Synthetic Aperture Radar Imagery XIV , 1996 .

[61]  G. J. Owirka,et al.  New SAR ATR algorithm suite , 1994, Defense, Security, and Sensing.

[62]  R. Wooding.  The multivariate distribution of complex normal variables , 1956 .

[63]  Charles V. Jakowatz,et al.  Spotlight-Mode Synthetic Aperture Radar: A Signal Processing Approach , 1996 .

[64]  Joseph A. O'Sullivan,et al.  Kullback-Leibler distances for quantifying clutter and models , 1999 .

[65]  Fulvio Gini,et al.  Statistical analyses of measured radar ground clutter data , 1999 .

[66]  Keinosuke Fukunaga,et al.  Introduction to Statistical Pattern Recognition , 1972 .

[67]  F. A. Seiler,et al.  Numerical Recipes in C: The Art of Scientific Computing , 1989 .

[68]  P. Moschopoulos,et al.  The distribution of the sum of independent gamma random variables , 1985 .

[69]  Michael I. Miller,et al.  Information measures for object recognition accommodating signature variability , 2000, IEEE Trans. Inf. Theory.

[70]  F. Famoye.  Continuous Univariate Distributions, Volume 1 , 1994 .

[71]  Gerard V. Trunk,et al.  A Problem of Dimensionality: A Simple Example , 1979, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[72]  J. Goodman.  Some fundamental properties of speckle , 1976 .

[73]  David L. Fried.  Statistics of the laser radar cross section of a randomly rough target , 1976 .

[74]  L. Novak,et al.  The Automatic Target- Recognition System in SAIP , 1997 .

[75]  David A. Castanon,et al.  Markov random field segmentation methods for SAR target chips , 1999, Defense, Security, and Sensing.

[76]  J. Rissanen.  Stochastic Complexity and Modeling , 1986 .

[77]  J. Susan Milton,et al.  Probability and statistics in the engineering and computing sciences , 1986 .

[78]  Lee C. Potter,et al.  Model-based classification of radar images , 2000, IEEE Trans. Inf. Theory.

[79]  J. Zerubia,et al.  Modelling SAR images with a generalisation of the Rayleigh distribution , 2000, Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154).

[80]  Joseph A. O'Sullivan,et al.  Information-Theoretic Image Formation , 1998, IEEE Trans. Inf. Theory.

[81]  P. Moschopoulos,et al.  The distribution function of a linear combination of chi-squares , 1984 .

[82]  J. Patrick Reilly.  On the Statistical Representation of Targets for Detection Studies , 1969, IEEE Transactions on Aerospace and Electronic Systems.

[83]  W. P. Delaney.  Changing world-changing nature of conflicts-a critical role for military radar , 1995 .

[84]  Michael Lee Bryant,et al.  Class separability assessments and MSE algorithm robustness , 1997, Defense, Security, and Sensing.

[85]  William A. Pearlman,et al.  An image multiresolution representation for lossless and lossy compression , 1996, IEEE Trans. Image Process..

[86]  H. Akaike.  A new look at the statistical model identification , 1974 .

[87]  D. A. Shnidman,et al.  Generalized radar clutter model , 1999 .

[88]  R. D'Agostino,et al.  A Suggestion for Using Powerful and Informative Tests of Normality , 1990 .

[89]  Joseph A. O'Sullivan,et al.  Automatic target recognition organized via jump-diffusion algorithms , 1997, IEEE Trans. Image Process..

[90]  Jan Sijbers,et al.  Maximum-likelihood estimation of Rician distribution parameters , 1998, IEEE Transactions on Medical Imaging.

[91]  Natalia A. Schmid,et al.  Probabilistic approach to model extraction from training data , 2001, SPIE Defense + Commercial Sensing.

[92]  Maliha S. Nash,et al.  Handbook of Parametric and Nonparametric Statistical Procedures , 2001, Technometrics.

[93]  W. Andrew.  LO, . Finance: Survey.. Journal of the American Statistical Association, , . , 2000 .

[94]  J. O’Sullivan,et al.  A Method of Sieves for Estimation and Classification of Gaussian Data , 2000 .

[95]  Michael I. Miller,et al.  Hilbert-Schmidt Lower Bounds for Estimators on Matrix Lie Groups for ATR , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[96]  R. P. Wishner,et al.  Battlefield awareness via synergistic SAR and MTI exploitation , 1998 .

[97]  S. Leigh,et al.  Probability and Random Processes for Electrical Engineering , 1989 .

[98]  U. Grenander.  Elements of Pattern Theory , 1996 .

[99]  Anoop Gupta,et al.  Parallel computer architecture - a hardware / software approach , 1998 .

[100]  Anil K. Jain,et al.  Small Sample Size Effects in Statistical Pattern Recognition: Recommendations for Practitioners , 1991, IEEE Trans. Pattern Anal. Mach. Intell..

[101]  Michael I. Miller,et al.  Conditional-mean estimation via jump-diffusion processes in multiple target tracking/recognition , 1995, IEEE Trans. Signal Process..