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Principles of Modern Radar - Volume 2 1891121537

Principles of Modern Radar - Volume 2 1891121537

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14.10 References 667[92] E. Libby, “Application <strong>of</strong> sequence comparison methods to multisensor data fusion and targetrecognition,” Air Force Institute <strong>of</strong> Technology, 1993.[93] A. S. Paul and A. K. Shaw, “Robust HRR radar target identification by hybridization <strong>of</strong>HMM and eigen-template-based matched filtering,” in Proceedings <strong>of</strong> SPIE, 2003.[94] A. K. Shaw, “Automatic target recognition using high-range resolution data,” Wright StateUniversity, Dayton, 1998.[95] K. Shaw and V. Bhatnagar, “Automatic target recognition using eigen-templates,” in Proceedings<strong>of</strong> SPIE, 1998.[96] B. Kahler and E. Blasch, “Robust multi-look HRR ATR investigation through decision-levelfusion evaluation,” in 11th International Conference on Information Fusion, 2008.[97] B. V. Kumar and M. Alkanhal, “Eigen-extended maximum average correlation height(EEMACH) filters for automatic target recognition,” in Proceedings <strong>of</strong> SPIE, 2001.[98] A. K. Shaw and R. Vashist, “Automatic Target Recognition using Eigen Templates,” inProceedings <strong>of</strong> SPIE Synthetic Aperture <strong>Radar</strong> Imagery V, Orlando, FL, 2000.[99] D. Nguyen, G. Benitz, J. Kay, B. Orchard and R. Whiting, “Superresolution HRR ATR withhigh definition vector imaging,” IEEE Transactions on Aerospace and Electronic Systems,vol. 37, no. 4, pp. 1267–1286, 2001.[100] S. Herman, A Particle Filtering Approach to Joint Passive <strong>Radar</strong> Tracking and TargetClassification, Urbana, IL: Doctoral Dissertation, Department <strong>of</strong> Electrical and ComputerEngineering, University <strong>of</strong> Illinois at Urbana-Champaign, 2002.[101] S. Herman and P. Moulin, “A Particle Filtering Approach to Joint <strong>Radar</strong> Tracking and AutomaticTarget Recognition,” in Proceedings <strong>of</strong> the IEEE Aerospace Conference, Big Sky,MT, 2002.[102] L. Ehrman, An Algorithm for Automatic Target Recognition Using Passive <strong>Radar</strong> and an EKFfor Estimating Aircraft Orientation, Atlanta, GA: Doctoral Dissertation, School <strong>of</strong> Electricaland Computer Engineering, Georgia Institute <strong>of</strong> Technology, 2005.[103] L. Ehrman and A.D. Lanterman, “Target Identification Using Modeled <strong>Radar</strong> Cross Sectionsand a Coordinated Flight Model,” in Proceedings <strong>of</strong> the Third Multi-National Conference onPassive and Covert <strong>Radar</strong>, Seattle, WA, 2003.[104] L. Ehrman and A.D. Lanterman, “Extended Kalman filter for estimating aircraft orientationfrom velocity measurements,” IET <strong>Radar</strong>, Sonar, and Navigation Transactions, vol. 2, issue1, 2008, pp.12–16.[105] L. Ehrman and A.D. Lanterman, “A robust algorithm for automatic target recognition usingprecomputed radar cross sections,” in Automated Target Recognition XIV Proc., SPIE 5426,Orlando, FL, April 2004.[106] E. Greneker and J. Geisheimer, “The Use <strong>of</strong> Passive <strong>Radar</strong> for Mapping Lightning Channelsin a Thunderstorm,” in Proceedings <strong>of</strong> the IEEE International <strong>Radar</strong> Conference, Huntsville,AL, 2003.[107] Kay, S., Xu, C., and Emge, D., “Chemical detection and classification in Raman spectra,” inSPIE Proceedings on Signal and Data Processing <strong>of</strong> Small Targets, vol. 6969, 2008.[108] Higdon, N.S., Chyba, T.H., Richter, D.A., Ponsardin, P.L., et. al., “Laser interrogation <strong>of</strong>surface agents (LISA) for chemical agent reconnaissance,” in SPIE Proceedings on Chemicaland Biological Sensing III, vol. 4722, 2002.[109] Sedlacek, A.J., Ray, M.D., Higdon, N.S., and Richter, D.A., “Short-range non-contact detection<strong>of</strong> surface contamination using Raman lidar,” in SPIE Proceedings on VibrationalSpectroscopy-based Sensor Systems, vol. 4577, 2002.

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