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Machine Learning 기반 레이다 표적 식별 기술  

Kim, Yeong-Uk (캘리포니아 주립대학교)
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The Proceeding of the Korean Institute of Electromagnetic Engineering and Science / v.29, no.4, 2018 , pp. 26-35 More about this Journal
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1 H. Furukawa, "Deep learning for end-to-end automatic target recognition," IEICE Technical Report, vol. 117, arXiv:1801.08558, 2018.
2 S. Ram, C. Christianson, Y. Kim, and H. Ling, "Simulation and analysis of human micro-Dopplers in through-wall environments," IEEE Trans. Geoscience and Remote Sensing, vol. 48, pp. 2015-2023, 2010.   DOI
3 C. Liang, Y. Li, D. Lu, J. Li, and L. Yan, "Simulation and analysis of micro-Doppler signatures of tracked vehicles," IET International Radar Conference, Oct. 2013.
4 J. Park, J. Rios, T. Moon, and Y. Kim, "Micro-Doppler based classification of human activities on water via transfer learning of convolutional neural networks," Sensors, vol. 16, pp. 1990, Nov. 2016.   DOI
5 I. Alnujaim, H. Alali, F. Khan, and Y. Kim, "Hand gesture recognition using input impedance variation of two antennas with transfer learning," IEEE Sensors Journal, vol. 18, pp. 4129-4135, May 2018.
6 Z. Huang, Z. Pan, and B. Lei, "Transfer learning with deep convolutional neural network for SAR target classification with limited labeled data," Remote Sensing, vol. 9, 2017.
7 I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio, "Generative adversarial networks," arXiv:1406.2661, 2014.
8 J. Friedman, R. Tibshirani, and T. Hastie, The Elements of Statistical Learning, Springer, 2001.
9 F. Rosenblatt, "The perceptron--a perceiving and recognizing automaton," Report 85-460-1, Cornell Aeronautical Laboratory, 1957.
10 A. Samuel, "Some studies in machine learning using the game of checkers," IBM Journal of Research and Development, 1959.
11 Y. LeCun, Y. Bengio, and G. Hinton, "Deep learning," Nature, vol. 521, pp. 436-444, May 2015.   DOI
12 P. Winston, "Learning structural descriptions from examples", The Psychology of Computer Vision, Chapter 5. McGraw Hill, 1975.
13 C. Cortes, V. Vapnik, "Support-vector networks", Machine Learning, Vol. 20, pp. 273-297, 1995.
14 A. Ng, J. Dean, "Building high-level features using large scale unsupervised learning", arXiv:1112.6209, 2012.
15 Y. Kim, H. Ling, "Human activity classification based on micro-Doppler signatures using a support vector machine," IEEE Transactions on Geoscience and Remote Sensing, vol. 47, pp. 1328-1337, May 2009.   DOI
16 Y. Kim, T. Moon, "Human detection and activity classification based on micro-Dopplers using deep convolutional neural networks," IEEE Geoscience and Remote Sensing Letters, vol. 13, pp. 2-8, Jan. 2016.   DOI
17 Y. Kim, B. Toomajian, "Hand gesture recognition using micro-Doppler signatures with convolutional neural network," IEEE Access, vol. 4, pp. 7125-7130, Oct. 2016.   DOI
18 C. Bishop, Pattern Recognition and Machine Learning, Springer, 2006.
19 B. Kim, H. Kang, and S. Park, "Drone classification using convolutional neural networks with merged Doppler images," IEEE Geoscience and Remote Sensing, vol. 14, pp. 38-42, Nov. 2016.
20 J. Zhao, W. Guo, S. Cui, Z. Zhang, and W. Yu, "Convolutional neural network for SAR image classification at patch level," IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016.
21 S. Chen, H. Wang, F. Xu, and Y. Jin, "Target classification using the deep convolutional networks for SAR Images," IEEE Trans Geoscience and Remote Sensing, vol. 54, pp. 4806-4817, 2016.   DOI