Robust Sonar ATR Through Bayesian Pose-Corrected Sparse Classification
暂无分享,去创建一个
Raghu G. Raj | John McKay | Vishal Monga | V. Monga | R. Raj | John McKay
[1] D.A. Cook,et al. Analysis of Phase Error Effects on Stripmap SAS , 2009, IEEE Journal of Oceanic Engineering.
[2] Osamu Yamaguchi,et al. Face Recognition Using Multi-viewpoint Patterns for Robot Vision , 2003, ISRR.
[3] Trevor Darrell,et al. Pose pooling kernels for sub-category recognition , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[4] Huanxin Zou,et al. Sparse Representation-Based SAR Image Target Classification on the 10-Class MSTAR Data Set , 2016 .
[5] Hossein Mobahi,et al. Toward a Practical Face Recognition System: Robust Alignment and Illumination by Sparse Representation , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] Jason R. Stack,et al. Automation for underwater mine recognition: current trends and future strategy , 2011, Defense + Commercial Sensing.
[7] Israel Cohen,et al. Graph-Based Supervised Automatic Target Detection , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[8] R. Hansen. Introduction to Synthetic Aperture Sonar , 2011 .
[9] Abdelhak M. Zoubir,et al. Sparse Representation based Classification for mine hunting using Synthetic Aperture Sonar , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[10] Hakan Cevikalp,et al. Face recognition based on image sets , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[11] Israel Cohen,et al. Anomaly subspace detection based on a multi-scale Markov random field model , 2004, 2004 23rd IEEE Convention of Electrical and Electronics Engineers in Israel.
[12] Gerald J. Dobeck,et al. Automated detection and classification of sea mines in sonar imagery , 1997, Defense, Security, and Sensing.
[13] Yuanyuan Wang,et al. Automatic Classification of Intracardiac Tumor and Thrombi in Echocardiography Based on Sparse Representation , 2015, IEEE Journal of Biomedical and Health Informatics.
[14] VARUN CHANDOLA,et al. Anomaly detection: A survey , 2009, CSUR.
[15] Vishal Monga,et al. Simultaneous Sparsity Model for Histopathological Image Representation and Classification , 2014, IEEE Transactions on Medical Imaging.
[16] Qiang Huang,et al. Underwater target classification using wavelet packets and neural networks , 2000, IEEE Trans. Neural Networks Learn. Syst..
[17] E.J. Candes,et al. An Introduction To Compressive Sampling , 2008, IEEE Signal Processing Magazine.
[18] Scott Reed,et al. An automatic approach to the detection and extraction of mine features in sidescan sonar , 2003 .
[19] Yao Chen,et al. Object detection in side scan sonar , 2015, International Symposium on Multispectral Image Processing and Pattern Recognition.
[20] Vishal Monga,et al. DFDL: Discriminative feature-oriented dictionary learning for histopathological image classification , 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).
[21] J. S. Rao,et al. Spike and slab variable selection: Frequentist and Bayesian strategies , 2005, math/0505633.
[22] E. Coiras,et al. Model-based sea mine classification with synthetic aperture sonar , 2010 .
[23] Jose C. Principe,et al. Online Active Learning for Automatic Target Recognition , 2015, IEEE Journal of Oceanic Engineering.
[24] Trac D. Tran,et al. Sparsity-based face recognition using discriminative graphical models , 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).
[25] John A. Fawcett,et al. A Template Matching Procedure for Automatic Target Recognition in Synthetic Aperture Sonar Imagery , 2010, IEEE Signal Processing Letters.
[26] Jason C. Isaacs,et al. Laplace-Beltrami eigenfunction metrics and geodesic shape distance features for shape matching in synthetic aperture sonar , 2011, CVPR 2011 WORKSHOPS.
[27] M.P. Hayes,et al. Synthetic Aperture Sonar: A Review of Current Status , 2009, IEEE Journal of Oceanic Engineering.
[28] Patrick Pérez,et al. Three-Class Markovian Segmentation of High-Resolution Sonar Images , 1999, Comput. Vis. Image Underst..
[29] Abdelhak M. Zoubir,et al. Contributions to Automatic Target Recognition Systems for Underwater Mine Classification , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[30] David P. Williams,et al. Exploiting Environmental Information for Improved Underwater Target Classification in Sonar Imagery , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[31] M. Elad,et al. $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation , 2006, IEEE Transactions on Signal Processing.
[32] Pascal Frossard,et al. Graph-based classification of multiple observation sets , 2010, Pattern Recognit..
[33] Jiri Matas,et al. On Combining Classifiers , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[34] Trac D. Tran,et al. Iterative Convex Refinement for Sparse Recovery , 2015, IEEE Signal Processing Letters.
[35] Stephen P. Boyd,et al. An Interior-Point Method for Large-Scale $\ell_1$-Regularized Least Squares , 2007, IEEE Journal of Selected Topics in Signal Processing.
[36] Israel Cohen,et al. Multiscale Anomaly Detection Using Diffusion Maps , 2013, IEEE Journal of Selected Topics in Signal Processing.
[37] Jason T. Isaacs,et al. Discriminative sparsity for Sonar ATR , 2015, OCEANS 2015 - MTS/IEEE Washington.
[38] Urbashi Mitra,et al. Robust Object Classification in Underwater Sidescan Sonar Images by Using Reliability-Aware Fusion of Shadow Features , 2015, IEEE Journal of Oceanic Engineering.
[39] Jason C. Isaacs. Sonar automatic target recognition for underwater UXO remediation , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[40] James D. Tucker,et al. Signal diffusion features for automatic target recognition in synthetic aperture sonar , 2011, 2011 Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE).
[41] D. Darling. The Kolmogorov-Smirnov, Cramer-von Mises Tests , 1957 .
[42] Xiaomei Xu,et al. A model-based Sonar image ATR method based on SIFT features , 2014, OCEANS 2014 - TAIPEI.
[43] David A. Clifton,et al. A review of novelty detection , 2014, Signal Process..
[44] Allen Y. Yang,et al. Robust Face Recognition via Sparse Representation , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[45] A. Bruckstein,et al. K-SVD : An Algorithm for Designing of Overcomplete Dictionaries for Sparse Representation , 2005 .
[46] David Zhang,et al. A Survey of Sparse Representation: Algorithms and Applications , 2015, IEEE Access.
[47] Naveen Kumar,et al. Object classification in sidescan sonar images with sparse representation techniques , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[48] Abdelhak M. Zoubir,et al. Optimal Feature Set for Automatic Detection and Classification of Underwater Objects in SAS Images , 2011, IEEE Journal of Selected Topics in Signal Processing.
[49] Raghu G. Raj,et al. Localized dictionary design for geometrically robust sonar ATR , 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).