[1]S. Dogru, L. Sedat and Lino Marques. “Pursuing drones with drones using millimeter wave radar, ” IEEE Robotics and Automation Letters 5.3 pp. 4156-4163, April 2020.
[2]S. Rangan, T. S. Rappaport, and E. Erkip, "Millimeter-wave cellular wireless networks: Potentials and challenges," Proceedings of the IEEE, vol. 102, no. 3, pp. 366-385, Feb 2014.
[3]H. Thorvaldsdóttir, J. T. Robinson, and J. P. Mesirov, "Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration," Briefings in bioinformatics, vol. 14, no. 2, pp. 178-192, March 2013.
[4]L. Wilkinson and M. Friendly, "The history of the cluster heat map," The American Statistician, vol. 63, no. 2, pp. 179-184, May 2009.
[5]Z. Zhang, L. Zhao, and T. Yang, "Research on the application of artificial intelligence in image recognition technology," in Journal of Physics: Conference Series, vol. 1992, no. 3: IOP Publishing, p. 032118, July 2021.
[6]I. Goodfellow, Y. Bengio, and A. Courville, Deep learning, Cambridge, MA, USA: MIT press, 2016.
[7]D. W. Hess, "Introduction to RCS measurements," in 2008 Loughborough Antennas and Propagation Conference, Loughborough, UK, pp. 37-44, March 2008.
[8]P. Rajyalakshmi and G. Raju, "Characteristics of radar cross section with different objects," International Journal of Electronics and Communication Engineering, vol. 4, no. 2, pp. 205-216, 2011.
[9]C. Sudhendra, A. Madhu, A. Pillai, G. Shekar, T. Rukmini, and K. Rao, "Design and implementation of a novel rasorber for aircraft stealth applications," in 2014 First International Conference on Computational Systems and Communications (ICCSC), Trivandrum, India, pp. 176-180, Dec 17-18, 2014.
[10]C. Durlu and H. T. Hayvaci, "Monostatic RCS analysis for armed and unarmed UAV," in 2017 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting, San Diego, CA, USA July 09-14, 2017.
[11]N. M. K. K. bin Yahya, N. E. Abd Rashid, N. A. Zakaria, Z. I. Khan, and K. K. M. Shariff, "Drone’s Radar Cross Section Computation for Various Reflected Angles using LTE frequency," in 2019 IEEE Asia-Pacific Conference on Applied Electromagnetics (APACE), Melacca, Malaysia, Nov 25-27, 2019.
[12]A. Krizhevsky, I. Sutskever, and G. E. Hinton, "Imagenet classification with deep convolutional neural networks," Advances in neural information processing systems, vol. 25, 2012.
[13]A. Profeta, A. Rodriguez, and H. S. Clouse, "Convolutional neural networks for synthetic aperture radar classification," in Algorithms for synthetic aperture radar imagery XXIII, 2016, Baltimore, MD, United States, vol. 9843, pp. 185-194, 2016.
[14]A. Yousry, M. Taha, and M. M. Selim, "Currency Recognition System for Blind people using ORB Algorithm," Int. Arab. J. e Technol., vol. 5, no. 1, pp. 34-40, Jan 2018.
[15]G. Liu, L. Zhu, W. Yu, and W. Yu, "Image formation, deep learning, and physical implication of multiple time-series one-dimensional signals: Method and application," IEEE Transactions on Industrial Informatics, vol. 17, no. 7, pp. 4566-4574, Aug 2020.
[16]F. M. Kahnert, "Numerical methods in electromagnetic scattering theory," Journal of Quantitative Spectroscopy and Radiative Transfer, vol. 79, pp. 775-824, Sep 2003.
[17]Z. Chen and M. M. Ney, "Method of moments: A general framework for frequency-and time-domain numerical methods," in 2007 Workshop on Computational Electromagnetics in Time-Domain, Perugia, Italy, Oct 15-17, 2007.
[18]V. Semkin et al., "Analyzing radar cross section signatures of diverse drone models at mmWave frequencies," IEEE access, vol. 8, pp. 48958-48969, March 2020.
[19]E. Rublee, V. Rabaud, K. Konolige, and G. Bradski, "ORB: An efficient alternative to SIFT or SURF," in 2011 International conference on computer vision, Barcelona, Spain, Jan 06-13, 2011.
[20]D. G. Viswanathan, "Features from accelerated segment test (fast)," in Proceedings of the 10th workshop on image analysis for multimedia interactive services, London, UK, May 6-8, 2009.
[21]M. Calonder, V. Lepetit, C. Strecha, and P. Fua, "Brief: Binary robust independent elementary features," in Computer Vision–ECCV 2010: 11th European Conference on Computer Vision, Heraklion, Crete, Greece, Sep 5-11, 2010.
[22]H. Bay, T. Tuytelaars, and L. Van Gool, "Surf: Speeded up robust features," in Computer Vision–ECCV 2006: 9th European Conference on Computer Vision, Graz, Austria, Graz, Austria, May 7-13 2006.
[23]P. Viola, M. Jones, "Rapid object detection using a boosted cascade of simple features," in Proceedings of the 2001 IEEE computer society conference on computer vision and pattern recognition. CVPR 2001, Kauai, HI, USA, vol. 1: Ieee, pp. I-I, Dec 08-14, 2001.
[24]A. Buades, B. Coll, and J.-M. Morel, "Non-local means denoising," Image Processing On Line, vol. 1, pp. 208-212, 2011.