A Compact Methodology to Understand, Evaluate, and Predict the Performance of Automatic Target Recognition
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Lei Gao | Bin Deng | Xiang Li | Hongqiang Wang | Yiping Chen | Yanpeng Li | Yongqiang Cheng | Yonghu Zeng | Zhaowen Zhuang | Liandong Wang | Xiang Li | Yongqiang Cheng | Hongqiang Wang | Yonghu Zeng | Liandong Wang | Z. Zhuang | Yanpeng Li | Yiping Chen | B. Deng | Lei Gao
[1] Julius T. Tou,et al. Pattern Recognition Principles , 1974 .
[2] Bir Bhanu,et al. Automatic Target Recognition: State of the Art Survey , 1986, IEEE Transactions on Aerospace and Electronic Systems.
[3] Firooz A. Sadjadi,et al. Automatic Target Recognition Algorithm Performance Evaluation: The Bottleneck In The Development Life Cycle , 1989, Defense, Security, and Sensing.
[4] Vincent J. Velten,et al. Image characterization for automatic target recognition algorithm evaluations , 1990, Defense, Security, and Sensing.
[5] Hatem N. Nasr,et al. Automatic evaluation and adaptation of automatic target recogition systems , 1990, Defense, Security, and Sensing.
[6] M. W. Roth. Survey of neural network technology for automatic target recognition , 1990, IEEE Trans. Neural Networks.
[7] D. Pei,et al. A combinatorial approach toward DNA recognition , 1991, Science.
[8] Christine M. Netishen,et al. Performance of a High-Resolution Polarimetric SAR Automatic Target Recognition System , 1993 .
[9] B. Bhanu,et al. Image understanding research for automatic target recognition , 1993, IEEE Aerospace and Electronic Systems Magazine.
[10] Effects of Polarization and Resolution on the Performance of a SAR Automatic Target Recognition System , 1995 .
[11] Edmund G. Zelnio,et al. Characterization of ATR performance evaluation , 1996, Defense, Security, and Sensing.
[12] Edmund G. Zelnio,et al. Extensibility and other model-based ATR evaluation concepts , 1997, Defense, Security, and Sensing.
[13] Mark S. Schmalz. Automated analysis and prediction of accuracy and performance in ATR algorithms: II. Experimental results and system performance analysis , 1997, Defense, Security, and Sensing.
[14] Gerhard X. Ritter,et al. Performance evaluation of data compression transforms for underwater imaging and object recognition , 1997, Oceans '97. MTS/IEEE Conference Proceedings.
[15] Mark S. Schmalz. Automated analysis and prediction of accuracy and performance in ATR algorithms: I. Requirements, theory, and software implementation , 1997, Defense, Security, and Sensing.
[16] B. D. Guenther,et al. Aided and automatic target recognition based upon sensory inputs from image forming systems , 1997 .
[17] Timothy D. Ross,et al. Evaluation of SAR ATR algorithm performance sensitivity to MSTAR extended operating conditions , 1998, Defense, Security, and Sensing.
[18] Michael I. Miller,et al. Hilbert-Schmidt Lower Bounds for Estimators on Matrix Lie Groups for ATR , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[19] Vince E. Diehl,et al. Upper bound calculations of ATR performance for ladar sensors , 1998, Defense, Security, and Sensing.
[20] Larry L. Horowitz,et al. Fundamental SAR ATR performance predictions for design trade-offs: 1D HRR versus 2D SAR versus 3D SAR , 1999, Defense, Security, and Sensing.
[21] Randolph L. Moses,et al. ATR performance prediction using attributed scattering features , 1999, Defense, Security, and Sensing.
[22] Bir Bhanu,et al. Bounding SAR ATR performance based on model similarity , 1999, Defense, Security, and Sensing.
[23] Jeffrey M. Hausdorff,et al. Physionet: Components of a New Research Resource for Complex Physiologic Signals". Circu-lation Vol , 2000 .
[24] Debashis Kushary,et al. Bootstrap Methods and Their Application , 2000, Technometrics.
[25] Dan E. Dudgeon,et al. ATR Performance Modeling and Estimation , 2000, Digit. Signal Process..
[26] L. Álvarez-Vallina,et al. Pharmacologic suppression of target cell recognition by engineered T cells expressing chimeric T-cell receptors , 2000, Cancer Gene Therapy.
[27] Timothy D. Ross. Confidence intervals for ATR performance metrics , 2001, SPIE Defense + Commercial Sensing.
[28] Jeffrey H. Shapiro,et al. Analytic performance bounds on SAR-image target recognition using physics-based signatures , 2001, SPIE Defense + Commercial Sensing.
[29] John M. Irvine. Evaluation of ATR algorithms employing motion imagery , 2001, Proceedings 30th Applied Imagery Pattern Recognition Workshop (AIPR 2001). Analysis and Understanding of Time Varying Imagery.
[30] Qun Zhao,et al. Support vector machines for SAR automatic target recognition , 2001 .
[31] John C. Mossing,et al. Open source tools for ATR development and performance evaluation , 2002, SPIE Defense + Commercial Sensing.
[32] Kannan Ramchandran,et al. Information-Theoretic Bounds on Target Recognition Performance Based on Degraded Image Data , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[33] David Blacknell. A comparison of SAR ATR performance with information theoretic predictions , 2003, SPIE Defense + Commercial Sensing.
[34] Bir Bhanu,et al. Performance modeling of vote-based object recognition , 2003, SPIE Defense + Commercial Sensing.
[35] Mark R. Stevens,et al. A scoring, truthing, and registration toolkit for evaluation of target detection and tracking , 2004, SPIE Defense + Commercial Sensing.
[36] Vincent L. Myers,et al. Information theoretic bounds of ATR algorithm performance for sidescan sonar target classification , 2005, SPIE Defense + Commercial Sensing.
[37] Steven C. Gustafson,et al. Receiver operating characteristic and confidence error metrics for assessing the performance of automatic target recognition systems , 2005 .
[38] Erik Blasch,et al. Fidelity score for ATR performance modeling , 2005, SPIE Defense + Commercial Sensing.
[39] Mark R. Stevens,et al. An Image Metric-Based ATR Performance Prediction Testbed , 2006, 35th IEEE Applied Imagery and Pattern Recognition Workshop (AIPR'06).
[40] Fredrik Gustafsson,et al. Ground Target Recognition Using Rectangle Estimation , 2006, IEEE Transactions on Image Processing.
[41] Mark R. Stevens,et al. Evaluation testbed for ATD performance prediction (ETAPP) , 2006, SPIE Defense + Commercial Sensing.
[42] Gábor Lugosi,et al. Prediction, learning, and games , 2006 .
[43] Magnús Snorrason,et al. Evaluation testbed for ATD performance prediction (ETAPP) , 2007, SPIE Defense + Commercial Sensing.
[44] Erik Blasch,et al. Score-based SAR ATR performance model with operating condition dependencies , 2007, SPIE Defense + Commercial Sensing.
[45] Bahram Javidi,et al. Physics of Automatic Target Recognition , 2007 .
[46] A. Leon-Garcia. Probability, statistics, and random processes for electrical engineering , 2008 .
[47] María Dolores Ugarte,et al. Probability and Statistics with R , 2008 .
[48] Xiang Li,et al. Performance evaluation for automatic target recognition based on cloud theory , 2008, 2008 International Conference on Radar.
[49] Tomaž Ambrožič,et al. Use of Automatic Target Recognition System for the Displacement Measurements in a Small Diameter Tunnel Ahead of the Face of the Motorway Tunnel During Excavation , 2008, Sensors.
[50] Jordi J. Mallorqui,et al. Assessment of Polarimetric SAR Interferometry for Improving Ship Classification based on Simulated Data , 2008, Sensors.
[51] Boris Kovalerchuk,et al. Modeling ATR processes to predict their performance by using invariance, robustness and self-refusal approach , 2009, 2009 12th International Conference on Information Fusion.
[52] Yael Edan,et al. An Objective Function to Evaluate Performance of Human–Robot Collaboration in Target Recognition Tasks , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[53] Tatsuya Kawahara,et al. Computer Assisted Language Learning system based on dynamic question generation and error prediction for automatic speech recognition , 2009, Speech Commun..
[54] D. Blacknell. Shadow-based SAR ATR performance prediction , 2009, Defense + Commercial Sensing.
[55] Yimin Liu,et al. Extended Target Recognition in Cognitive Radar Networks , 2010, Sensors.
[56] Chein-I Chang,et al. Multiparameter Receiver Operating Characteristic Analysis for Signal Detection and Classification , 2010, IEEE Sensors Journal.
[57] J. Steitz,et al. Poly(A) Tail Recognition by a Viral RNA Element Through Assembly of a Triple Helix , 2010, Science.
[58] Hoi-Shun Lui,et al. Performance evaluation of subsurface target recognition based on ultrawideband short-pulse excitation , 2010, 2010 IEEE Antennas and Propagation Society International Symposium.
[59] Cheng Xiao,et al. Automatic Target Recognition of SAR Images Based on Global Scattering Center Model , 2011, IEEE Transactions on Geoscience and Remote Sensing.
[60] Jianlin Zhao,et al. [EEG signal classification based on EMD and SVM]. , 2011, Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi.
[61] Alice J. O'Toole,et al. Demographic effects on estimates of automatic face recognition performance , 2011, Face and Gesture 2011.
[62] Gui Gao,et al. An Improved Scheme for Target Discrimination in High-Resolution SAR Images , 2011, IEEE Transactions on Geoscience and Remote Sensing.
[63] Liu Jin-jiang,et al. The Detection and Recognition of Electrocardiogram's Waveform Based on Sparse Decomposition and Neural Network , 2011 .
[64] Luo Lai-bang,et al. A Infrared Target Recognition Method Based on Classifier Combination , 2012 .
[65] Kenneth W. Bauer,et al. Automatic Target Recognition Classification System Evaluation Methodology , 2012 .
[66] Alice J. O'Toole,et al. Demographic effects on estimates of automatic face recognition performance , 2012, Image Vis. Comput..
[67] Kenneth W. Bauer,et al. The Evaluation of Competing Classifiers , 2012 .
[68] Jingchang Huang,et al. Seismic Target Classification Using a Wavelet Packet Manifold in Unattended Ground Sensors Systems , 2013, Sensors.
[69] José Luis Lázaro,et al. Computational Burden Resulting from Image Recognition of High Resolution Radar Sensors , 2013, Sensors.
[70] Jean-Jacques Laurin,et al. Study of Microwave Tomography Measurement Setup Configurations for Breast Cancer Detection Based on Breast Compression , 2013 .
[71] Jing Zhu,et al. Sensor Reliability Evaluation Scheme for Target Classification Using Belief Function Theory , 2013, Sensors.
[72] Weidong Yang,et al. ATR algorithm performance evaluation based on the simulation image and real image , 2013, Other Conferences.
[73] Naveen Kumar,et al. An Overview of Automatic Target Recognition Systems for Underwater Mine Classification , 2016 .