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Principles of Modern Radar - Volume 2 1891121537

Principles of Modern Radar - Volume 2 1891121537

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664 CHAPTER 14 Automatic Target Recognition[37] N. M. Sandirasegaram, “Spot SAR ATR Using Wavelet Features and Neural NetworkClassifier,” Ottawa, Ontario, 2005.[38] Y. Wang, P. Han and R. Wu, “Analysis <strong>of</strong> PC Number Selection in SAR ATR,” in 1st Asianand Pacific Conference on Synthetic Aperture <strong>Radar</strong>, 2007.[39] X. Lu, P. Han and R. Wu, “Two-Dimensional PCA for SAR Automatic Target Recognition,”in 1st Asian and Pacific Conference on Synthetic Aperture <strong>Radar</strong>, 2007.[40] L. Hu, J. Liu, H. Liu, B. Chen and S. Wu, “Automatic Target Recognition based on SARimages and Two-Stage 2DPCA features,” in 1st Asian and Pacific Conference on SyntheticAperture <strong>Radar</strong>, 2007.[41] L. Maokuan, G. Jian, D. Hui and G. Xin, “SAR ATR based on Support Vector Machines andIndependent Component Analysis,” in International Conference on <strong>Radar</strong>, 2006.[42] N. S. Subotic, J. D. Gorman and S. Welby, “Hybrid Template- and Model-Based ATR Formulation,”US Army Research Laboratory, Adelphi, MD, 1999.[43] O. Horsfield and D. Blacknell, “Utilising feedback in adaptive SAR ATR systems,” in Algorithmsfor Synthetic Aperture <strong>Radar</strong> Imagery XVI Proceedings <strong>of</strong> SPIE, 2009.[44] H. Seidel, C. Stahl, P. Knappe and P. Hurst, “Generation <strong>of</strong> Synthetic SAR Imagery for ATRDevelopment,” Munich, Germany, 2005.[45] T. O. Binford, B.-H. Wang and T. S. Levitt, “Context and Quasi-Invariants in Automatic TargetRecogntion (ATR) with Synthetic Aperture <strong>Radar</strong> (SAR) Imagery,” Air Force ResearchLaboratory, Wright-Patterson Air Force Base, OH, 2002.[46] M. Cetin, W. C. Karl and D. A. Castanon, “Analysis <strong>of</strong> the Impact <strong>of</strong> Feature-Enhanced SARImaging on ATR Performance,” in Proceedings <strong>of</strong> the SPIE, 2002.[47] L. C. Potter and R. L. Moses, “Attributed Scattering Centers for SAR ATR,” IEEE Transactionson Image Processing, vol. 6, no. 1, pp. 79–91, 1997.[48] D. Waagen, J. Pecina and R. Pickens, “Evolving Spatially-Localized Projection Filters forSAR Automatic Target Recognition,” in Proceedings <strong>of</strong> the 7th International Conference onEvolutionary Programming VII , 1998.[49] Y. Chen, E. Blasch, H. Chen, T. Qian and G. Chen, “Experimental Feature-Based SAR SARATR Performance Evaluation under Different Operational Conditions,” in Proceedings <strong>of</strong>the SPIE, 2008.[50] D. P. Huttenlocher, G. A. Klanderman and W. J. Rucklidge, “Comparing Images Usingthe Hausdorff Distance,” IEEE Transactions on Pattern Analysis and Machine Intelligence,vol. 15, no. 9, pp. 850–863, 1993.[51] H. Yuankui and Y. Yiming, “Automatic Target Recognition <strong>of</strong> ISAR Images Based on HausdorffDistance,” in 1st Asian and Pacific Conference on Synthetic Aperture <strong>Radar</strong>, 2007.[52] J. A. Saghri, “SAR Automatic Target Recognition Using Maximum Likelihood TemplatebasedClassifiers,” in Applications <strong>of</strong> Digital Image Processing XXXI Proceedings <strong>of</strong> theSPIE, 2008.[53] A. Toumi, B. Hoeltzener and A. Khenchaf, “Using Watersheds segmentation on ISAR imagefor automatic target recognition,” in 2nd International Conference on Digital InformationManagement, 2007.[54] K. Ikeuchi, R. Collins, T. Shakunaga and K. Ohba, “Adaptive Model Based ATR System,”Carnegie Mellon University, Pittsburgh, PA, 1996.[55] Q. Zhao, D. Xu and J. C. Principe, “Pose Estimation for SAR Automatic Target Recognition,”in Proceedings <strong>of</strong> Image Understanding Workshop, 1998.

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