參考文獻 |
﹝1﹞Oliver, C., and S. Quegan, 2004: Understanding synthetic aperture radar images, SciTech Publishing. Inc.
﹝2﹞Guindon, B. 1993: Development of a SAR Data Acquisition Planning Tool (SARPIAN) Based on Image Simulation, International Journal of Remote Sensing, 14, 2, 333-344.
﹝3﹞Camporeale, C., and G. Galati, 1991: Digital Computer Simulation of Synthetic Aperture Systems and Images, European Transactions on Telecommunications, 2, 3, 343-352.
﹝4﹞2013:電磁學基礎(1)關於電磁場的一些疑問, 程式人雜誌10月號, http://programmermagazine.github.io/201310/htm/science1.html
﹝5﹞Curlander, C., and N. McDonough, 1991: Synthetic Aperture Radar:Systems and Signal Processing, John Wiley & Sons, Inc.
﹝6﹞National Secience and Technology Center for Disaster Reduction,災害情資網, http://eocdss.ncdr.nat.gov.tw/ncdrwebv2/
﹝7﹞Chen. K. S., C. Y. Chu., and C. T. Wang., Nation Central University Research Center for Taiwan Economic Development, http://www.narl.org.tw/ext/po/po_attach.php?po_file_id=16871
﹝8﹞Rihaczek, A. W., and S. J. Hershkowitz, 2000: Theory and Practice of Radar Target Identification, Artech House.
﹝9﹞Huang, C. W., and K. C. Lee, 2010: Frequency-diversity RCS based target recognition with ICA projection, Journal of Electromagnetic Waves and Applications, 24, 17-18, 2547-2559.
﹝10﹞Guo, K. Y., Q. Li, and X. Q. Sheng, 2010: A precise recognition method of missile warhead and decoy in multi-target scene, Journal of Electromagnetic Waves and Applications, 24, 5-6, 641-652.
﹝11﹞Tian, B., D. Y. Zhu, and Z. D. Zhu, 2011: A novel moving target detection approach for dual-channel SAR system, Progress In Electromagnetics Research, 115, 191-206.
﹝12﹞Wang, X. F., J. F. Chen, Z. G. Shi, and K. S. Chen, 2011: Fuzzy-control-based particle filter for maneuvering target tracking, Progress In Electromagnetics Research, 118, 1-5.
﹝13﹞Lee, J. S. and E. Pottier, 2009: Polarimetric Radar Imaging: From Basics to Applications, CRC Press.
﹝14﹞Margarit, G., J. J. Mallorqui, J. M. Rius, and J. Sanz-Marcos, 2006: On the usage of GRECOSAR, an orbital polarimetric SAR simulator of complex targets, to vessel classification studies, IEEE Trans. Geoscience and Remote Sens., 44, 3517-3526.
﹝15﹞Lee, J. S., 1980: Digital image enhancement and noise filtering by use of local statistics, IEEE Trans. Pattern Anal. Mach. Intell., 2, 165-168.
﹝16﹞Kasim , H., V. March1, R. Zhang, and S. See. 2008: Survey on Parallel Programming Mode, Proceedings of the IFIP International Conference on Network and Parallel Computing.
﹝17﹞Soumekh, M., 1997: Moving target detection in foliage using along track monopulse synthetic aperture radar imaging,IEEE Transactions on Image Processing, Aug, 6, 8, 1148–1163.
﹝18﹞Koskinen, J.T., J.T. Pulliainen, and M.T. Hallikainen, 1997: The use of ERS-1 SAR data in snow melt monitoring, IEEE Transactions on Geoscience and Remote Sensing, May, 35, 3, 601-610.
﹝19﹞Sharma, R. K., B.S. Kumar, N. M. Desai, and V.R. Gujraty, 2008: SAR for disaster management, IEEE Aerospace and Electronic Systems Magazine, June, 23, 6, 4-9.
﹝20﹞Keydel, E. R., S. W. Lee, and J. T. Moore, 1996: MSTAR Extended
Operating Conditions, Proc of SPIE, 2757, 228-242.
﹝21﹞Ross, T., S. Worrell, V. Velten, et al. 1998: Standard SAR ATR Evaluation Experiment Using the MSTAR Public Release Data Set, Proc of SPIE, 3370, 566- 573.
﹝22﹞Potter, L. C. and R. L. Moses, 1997: Attributed Scattering Centers for SAR ATR, IEEE Trans. on Image Process, 6, 1, 79-91.
﹝23﹞Novak, L.M., G.J. Owirka, and A.I.Weaver, 1999: Automatic target recognition using enhanced resolution SAR data,IEEE Trans. on AES., 35, 1, 157-175.
﹝24﹞Ross, T.D. et al., 1999: SAR ATR: so what’s the problem? An MSTAR perspective, Proc of SPIE, 3721, 662-672.
﹝25﹞DeVORE, M.D. and J.A.O. Sullivan, 2002: Performance Complexity Study of Several Approaches to Automatic Target Recognition from SAR Images, IEEE Trans. on AES., 38, 2, 632-648.
﹝26﹞Cetin, M. et al, 2003: Feature Enhancement and ATR Performance Using Nonquadratic Optimization-Based SAR Imaging, IEEE Trans. on AES., 39, 4, 1375-1395.
﹝27﹞Pettersson, M.I. 2004: Detection of Moving Targets in Wideband SAR, IEEE Trans. on AES., 40, 3, 780-796.
﹝28﹞Bordoni, F. et al., 2005: Multibaseline Cross-Track SAR Interferometry using Interpolated Arrays, IEEE Trans. on AES., 41, 4, 1472-1481.
﹝29﹞Oliver C., and S. Quegan, 1998: Understanding Synthetic Aperture RadarImages, Boston Artech House.
﹝30﹞Cafforio, C., C. Prati, and F. Rocca. 1987: SAR real-time on board processing: The polyphase algorithm, in Proc. Int. Conf. on Supercomputing, 248-253.
﹝31﹞Perry, R. P., and L. W. Martinson, 1978: Radar matched filtering, in Radar Technology. Nonvood, MA: Artech House, 11, 163-169.
﹝32﹞Sack, M. et al.,1985: Application of efficient Linear FM matched filtering algorithms to synthetic aperture radar processing, IEE Proc., 132, 1, 45-57.
﹝33﹞Vant, M. R., and K. H. Wu, 1984: A digital SAR processor based on the coherent subaperture addition technique, in Proc. Inf. Radar Conf, May, 425-429.
﹝34﹞Wu, K. H., and M. R. Vant, 1985: Extensions to the step transform SAR processing technique, IEEE Trans. Aerosp. Electron. Syst., May, AES-21, 3, 338-344.
﹝35﹞Wu, K. H., and M. R. Vant, 1984: Coherent subaperture processing techniques for SAR, Canadian Communications Research Center, Rep., Jan, 1388.
﹝36﹞Bolognani, S. R. Oboe, and M. Zigliotto, 1999: Sensorless Full-Digital PMSM Drive With EKF Estimation of Speed and Rotor Position , IEEE Transactions onIndustrial Electronics, 46(1), 184-191.
﹝37﹞Bolognani, S., L. Tubiana, and M. Zigliotto. 2003: Extended Kalman Filter Tuning in Sensorless PMSM Drives. IEEE Transactions on Industry Applications, 39(6), 1741-1747.
﹝38﹞Zhang, S. S., and J. Chen, 2008: A echo simulation algorithm for natural scene, IEEE Radar Conference.
﹝39﹞Balz, T., and U. Stilla, 2009:Hybrid GPU-based single and double bounce SAR simulation, IEEE Transactions on Geoscience and Remote Sensing, 47(10), 3519-3529.
﹝40﹞Cao, N., and H. Lu, 2009: Efficient SAR raw data simulation based on parallel computation in hybrid domain, WRI World Congress on Computer Science and Information Engineering.
﹝41﹞Cumming, G., and H. Wong, 2004: Digital Processing of Synthic Aperture Radar Data: Algorithms and Implementation, Boston, MA:Artech House.
﹝42﹞Pike, T., 1986: Analysis of ERS-1 SAR Performance through Simulation, Proceedings of IEEE National Radar Conference, IEEE, 13-18.
﹝43﹞Jung, C., J. Jung, T. Oh, and Y. Kwag, 2008: SAR Image Quality Assessment in Real Clutter Environment, Synthetic Aperture Radar (EUSAR), 7th European Conference on.
﹝44﹞Lu, X., and H. Sun, 2007: Parameter assessment for SAR image quality evaluation system, in Proc. 1st Asian and Pacific Conf. Synthetic Aperture Radar APSAR 58–60.
﹝45﹞Eineder, M. et al., 2008: TerraSAR-X Ground Segment, Basic Product Specification Document, Cluster Applied Remote Sensing (CAF) Oberpfaffenhofen(Germany).
﹝46﹞張西亞、王順泰、周朝宜、陳德民、吳長興、李金泓、謝志偉, 2007:高效能電腦叢集的發展與趨勢, 物理雙月刊,第五期第二十九卷.
﹝47﹞2004: 中央氣象局超高速運算電腦系統的應用, 政府機關資訊通報, http://readopac2.ncl.edu.tw/nclJournal/search/detail.jsp?dtdId=000040&search_type=detail&la=ch&checked=&unchecked=&sysId=0004087767
﹝48﹞Irwin, B., and A. N. 2009: GPU packet classification using OpenCL: a consideration of viable classification methods, SAICSIT Conf.ACM, 160-169.
﹝49﹞Charalambous, P. T. M., and A. Stamatakis, 2005: Initial experiences porting a bioinformatics application to a graphics processor, Advances in Informatics, 415-425.
﹝50﹞鄭守成, 2002: C語言 MPI平行計算程式設計.
﹝51﹞Henty, D. S., 2000: Performance of Hybrid Message-Passing and Shared-Memory Parallelism for Discrete Element Modeling, Proc. of the Supercomputing (SC).
﹝52﹞Noaje, G., M. Krajecki, and C. Jaillet, 2010: MultiGPU computing using MPI or OpenMP, in Proceedings of the 2010 IEEE 6th International Conference on Intelligent Computer Communication and Processing (ICPP).
﹝53﹞Loper, J., and S. Parr, 2007: Energy efficiency in data centers: A new policy frontier, Environ. Qual. Manage, 16, 83-97.
﹝54﹞Setoain, J., C.Tenllado, and M.Prieto, et al. 2006: Parallel Hyperspectral Image Processing on Commodity Graphics Hardware. Proceedings of the International Conference on Parallel Processing Workshops, 465-472.
﹝55﹞Setoain, J., M. Prieto, C. Tenllado, A. Plaza, and F. Tirado, 2007: Parallel Morphological Endmember Extraction Using Commodity Graphics Hardware, IEEE Geoscience and Remote Sensing Letters, 441-445.
﹝56﹞Balz, T., and N. Haala, 2006: Improved Real-Time SAR Simulation in Urban Areas, International Geoscience and Remote Sensing Symposium (IGARSS), 3631-3634.
﹝57﹞CUDA, http://en.wikipedia.org/wiki/CUDA
﹝58﹞NVIDIA Corporation, 2014: NVIDIA CUDA C PROGRAMMING GUIDE, http://docs.nvidia.com/cuda/pdf/CUDA_C_Programming_Guide.pdf, August.
﹝59﹞Heresy Space, nVidia CUDA簡介, http://kheresy.wordpress.com/2007/10/31/nvidia-cuda-簡介/
﹝60﹞Grauer-Gray, S. C. Kambhamettu, and K. Palaniappan. 2006: GPU Implementation of Belief Propagation Using CUDA for Cloud Tracking and Reconstruction, Pattern Recognition in Remote Sensing (PRRS 2008). 1-4.
﹝61﹞Aila, T., and S. Laine. 2009: Understanding the efficiency of ray traversal on GPUs, In Proceedings of High Performance Graphics, August, 145–149.
﹝62﹞Steven, G., J. Bigler, A. Dietrich, H. Friedrich, J. Hoberock, D. Luebke, D. McAllister, M. McGuire, K. Morley, A. Robison, and M. Stich. 2010: OptiX: A general purpose ray tracing engine. ACM Transactions on Graphics, August, 29, 3.
﹝63﹞Cederman, D., and P. Tsigas, 2011: Dynamic load balancing using work-stealing, In Wen-mei W. Hwu, editor, GPU Computing Gems, October, 2, 35, 485–499.
﹝64﹞Tzeng, S., A. Patney, and D. Owens, 2010: Task management for irregular-parallel workloads on the GPU, In Proceedings of High Performance Graphics, June, 29–37.
﹝65﹞Arora, S., D. Blumofe, and C. Plaxton, 1998: Thread scheduling for multiprogrammed multiprocessors, In Proceedings of the Tenth Annual ACM Symposium on Parallel Algorithms and Architectures, June/July, 119–129.
﹝66﹞Marc, H., and L. Willebeek, 1993: Strategies for dynamic load balancing on highly parallel computers, IEEE Transactions on Parallel and Distributed System.
﹝67﹞Chi-Chung, H., and S.T. Chanson, 1999: Hydrodynamic load balancing, IEEE Transactions on Parallel and Distributed System.
﹝68﹞Srisuresh, P., and D. Gan, 1998: Load Sharing using IP Network Address Translation(LSNAT), August, RFC 2391.
﹝69﹞Richard, B., L. Dreak, M. Oster, and L.Williamson,1999: Achieving Load Balance and Effective Caching in Clustered Web Servers, University of Saskatchewan, January 20.
﹝70﹞Padhy, R.P., and P.G. Prasad, 2011: Load Balancing in Cloud Computing System, Department of Computer Science and Engineering National Institute of Technology, 1-56.
﹝71﹞Colajanni, M., S. Yu, and M. Dias, 1998: Analysis of Task Assignment Policies in Scalable Distributed web-server systems, IEEE Tran. On Parallel and Distributed Systems, 9, 6, 585-600.
﹝72﹞Cardellini, V. E. Casalicchio, M. Colajanni, and S. Yu, 2002: The state of the art in locally distributed Web-server systems, ACM Computing Surveys, June, 34, 2, 263-311.
﹝73﹞Pai, S., M. Aron, Banga, M. Svendsen, P. Druschel, W. Zwaenepoel, and E. Nahum, 1998: Locality-Aware Request Distribution in Cluster-based Network Servers, Proc. ACM Arch. Support for Progr. Languages Conf., Octcber,535-544.
﹝74﹞Shi, R., S. Potluri, K. Hamidouche, Xi. Lu, Tomko, K.Ohio State Univ., Panda, D.K. 2013: A Scalable and Portable Approach to Accelerate Hybrid HPL on Heterogeneous CPU-GPU Clusters, in 2013 IEEE International Conference , Sept, 23-27, 1-8.
﹝75﹞Song, F. and J. Dongarra, 2012: A Scalable Framework for Heterogeneous GPU-based Clusters, in Proceedings of the 24th ACM symposium on Parallelism in algorithms and architectures (SPAA).
﹝76﹞Medhi, J., 1991: Stochastic Models in Queueing Theory, Academic Press.
﹝77﹞Bing, L., and S. Feng, 2007: Research on Dynamic Load Balancing Algorithm Based on Message Passing Mechanism, Computer Engineering, 5, 58.
﹝78﹞Shi, W., and Z. Tang, 1999: Dynamic Computation Scheduling for Load Balancing in Home-based Software DSMs, in Proceedings of the 1999 International Symposium on Parallel Architectures, Algorithms and Networks, IEEE Computer Press, Perth, Australia, June.
﹝79﹞Lei, W., H. Yongzhong, C. Xin, et al. 2008: Task scheduling of parallel processing in CPU-GPU collaborative environment, Proc of International Conference on Computer Science and Information Technology. Piscataway, IEEE Press, 228-232.
﹝80﹞Guim, F., I. Rodero, J. Corbalan, et al, 2010: Enabling GPU and manycore systems in heterogeneous HPC environments using memory consideration , Proc of 12th IEEE International Conference on High Performance Computing and Communications. Los Alamitos, California: IEEE Computer Society Press, 146-155.
﹝81﹞Sun, C. L., L. C. Tsai, and C. Y. Chiang, 2016: SAR Image simulateion using the LBM algorithm on MPI-GPU, Innovative Applications of Radar and LiDAR Remote Sensing of Terrestrial, Atmospheric and Oceanic Sciences, Aug. |