[1] L.-Y. Lo, C. H. Yiu, Y. Tang, A.-S. Yang, B. Li, and C.-Y. Wen, "Dynamic Object Tracking on Autonomous UAV System for Surveillance Applications," Sensors, vol. 21, p. 7888, 2021.
[2] Y. Wu, Y. Sui, and G. Wang, "Vision-based real-time aerial object localization and tracking for UAV sensing system," IEEE Access, vol. 5, pp. 23969-23978, 2017.
[3] C. Fu, A. Carrio, M. A. Olivares-Mendez, R. Suarez-Fernandez, and P. Campoy, "Robust real-time vision-based aircraft tracking from unmanned aerial vehicles," in 2014 ieee international conference on robotics and automation (ICRA), 2014, pp. 5441-5446.
[4] A. Bewley, Z. Ge, L. Ott, F. Ramos, and B. Upcroft, "Simple online and realtime tracking," in 2016 IEEE international conference on image processing (ICIP), 2016, pp. 3464-3468.
[5] V. AZADZADEH, "A New Framework for Tracking Aerial Moving Targets using AFFINE–SIFT Algorithm," Journal Of Electronical & Cyber Defence, vol. 5, 2017.
[6] K. Zhang, L. Zhang, Q. Liu, D. Zhang, and M.-H. Yang, "Fast visual tracking via dense spatio-temporal context learning," in Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V 13, 2014, pp. 127-141.
[7] A. Yilmaz, O. Javed, and M. Shah, "Object tracking: A survey," Acm computing surveys (CSUR), vol. 38, pp. 13-es, 2006.
[8] E. N. Barmpounakis, E. I. Vlahogianni, and J. C. Golias, "Unmanned Aerial Aircraft Systems for transportation engineering: Current practice and future challenges," International Journal of Transportation Science and Technology, vol. 5, pp. 111-122, 2016.
[9] M. Anvaripour, R. S. Kandovan, and S. Soltanpour, "Low distance airplanes detection and tracking visually using spectral residual and KLT composition," Research Institute for ICT, ACECR, Tehran, Iran, 2014.
[10] A. S. Mian, "Realtime visual tracking of aircrafts," in 2008 Digital Image Computing: Techniques and Applications, 2008, pp. 351-356.
[11] S. Yeom, "Long Distance Ground Target Tracking with Aerial Image-to-Position Conversion and Improved Track Association," Drones, vol. 6, p. 55, 2022.
[12] S. Yeom, "Moving people tracking and false track removing with infrared thermal imaging by a multirotor," Drones, vol. 5, p. 65, 2021.
[13] S. Yeom, "Long distance moving vehicle tracking with a multirotor based on IMM-directional track association," Applied Sciences, vol. 11, p. 11234, 2021.
[14] S. R. Vantaram and E. Saber, "Survey of contemporary trends in color image segmentation," Journal of Electronic Imaging, vol. 21, pp. 040901-040901, 2012.
[15] A. G. Oskouei, M. Hashemzadeh, B. Asheghi, and M. A. Balafar, "CGFFCM: Cluster-weight and Group-local Feature-weight learning in Fuzzy C-Means clustering algorithm for color image segmentation," Applied Soft Computing, vol. 113, p. 108005, 2021.
[16] S. Lazebnik, C. Schmid, and J. Ponce, "Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories," in 2006 IEEE computer society conference on computer vision and pattern recognition (CVPR'06), 2006, pp. 2169-2178.
[17] F. Hu, G.-S. Xia, Z. Wang, X. Huang, L. Zhang, and H. Sun, "Unsupervised feature learning via spectral clustering of multidimensional patches for remotely sensed scene classification," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 8, 2015.
[18] L. Liu and Z. Shi, "Airplane detection based on rotation invariant and sparse coding in remote sensing images," Optik, vol. 125, pp. 5327-5333, 2014.
[19] X. Yao, J. Han, L. Guo, S. Bu, and Z. Liu, "A coarse-to-fine model for airport detection from remote sensing images using target-oriented visual saliency and CRF," Neurocomputing, vol. 164, pp. 162-172, 2015.
[20] B. Zhao, Y. Zhong, G.-S. Xia, and L. Zhang, "Dirichlet-derived multiple topic scene classification model for high spatial resolution remote sensing imagery," IEEE Transactions on Geoscience and Remote Sensing, vol. 54, pp. 2108-2123, 2015.
[21] H. Shuo, W. Na, and S. Huajun, "Object tracking method based on SURF," AASRI Procedia, vol. 3, pp. 351-356, 2012.
[22] L. Jianfang, Z. Hao, and G. Jingli, "A novel fast target tracking method for UAV aerial image," Open Physics, vol. 15, pp. 420-426, 2017.
[23] S. Omachi and M. Omachi, "Fast template matching with polynomials," IEEE Transactions on Image Processing, vol. 16, pp. 2139-2149, 2007.
[24] X. Zhang, H. Liu, and X. Li, "Target tracking for mobile robot platforms via object matching and background anti-matching," Robotics and Autonomous Systems, vol. 58, pp. 1197-1206, 2010.
[25] H. Zhou, M. Taj, and A. Cavallaro, "Target detection and tracking with heterogeneous sensors," IEEE Journal of Selected Topics in Signal Processing, vol. 2, pp. 503-513, 2008.
[26] P. Fang, J. Lu, Y. Tian, and Z. Miao, "An improved object tracking method in UAV videos," Procedia Engineering, vol. 15, pp. 634-638, 2011.
[27] J. Sun, "A fast MEANSHIFT algorithm-based target tracking system," Sensors, vol. 12, pp. 8218-8235, 2012.
[28] X. Liu and Z. Zhang, "A vision-based target detection, tracking, and positioning algorithm for unmanned aerial vehicle," Wireless Communications and Mobile Computing, vol. 2021, pp. 1-12, 2021.
[29] S. V. Alavi Panah Zo, N. Zarei, and M. Molazadeh Golmahaleh, "discrimination of sea chaff in search mode based on deep learning algorithm," in Radar, 2023.
[30] Q. V. Le, "Building high-level features using large scale unsupervised learning," in 2013 IEEE international conference on acoustics, speech and signal processing, 2013, pp. 8595-8598.
[31] Q. Wu, D. Feng, C. Cao, X. Zeng, Z. Feng, J. Wu, et al., "Improved mask R-CNN for aircraft detection in remote sensing images," Sensors, vol. 21, p. 2618, 2021.
[32] P. Zhao, H. Gao, Y. Zhang, H. Li, and R. Yang, "An Aircraft Detection Method Based on Improved Mask R-CNN in Remotely Sensed Imagery," in IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, 2019, pp. 1370-1373.
[33] M. Yuan, T. Jiang, and X. Wang, "Aircraft target detection in remote sensing image based on improved YOLOv3 algorithm," J. Geomat. Sci. Technol, vol. 36, pp. 614-619, 2019.
[34] H. Wu, H. Zhang, J. Zhang, and F. Xu, "Fast aircraft detection in satellite images based on convolutional neural networks," in 2015 IEEE International Conference on Image Processing (ICIP), 2015, pp. 4210-4214.
[35] F. Zhang, B. Du, L. Zhang, and M. Xu, "Weakly supervised learning based on coupled convolutional neural networks for aircraft detection," IEEE Transactions on Geoscience and Remote Sensing, vol. 54, pp. 5553-5563, 2016.
[36] H. Zhang, G. Wang, Z. Lei, and J.-N. Hwang, "Eye in the sky: Drone-based object tracking and 3d localization," in Proceedings of the 27th ACM International Conference on Multimedia, 2019, pp. 899-907.
[37] S. Zhang, L. Zhuo, H. Zhang, and J. Li, "Object tracking in unmanned aerial vehicle videos via multifeature discrimination and instance-aware attention network," Remote Sensing, vol. 12, p. 2646, 2020.
[38] A. Kouris, C. Kyrkou, and C.-S. Bouganis, "Informed region selection for efficient uav-based object detectors: Altitude-aware vehicle detection with cycar dataset," in 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019, pp. 51-58.
[39] H. Mohseni, M. Najafzadeh, M. Zarie, A. Jahed Saravania, and S. Zare, "Calculation of the Combined Threat of Air Targets Using Neuro-Fuzzy Systems," in Radar, 2022, pp. 69-78.
[40] M. Zarie, A. Jahedsaravani, and M. Massinaei, "Flotation froth image classification using convolutional neural networks," Minerals Engineering, vol. 155, p. 106443, 2020.
[41] A. Jahedsaravani, M. Massinaei, and M. Zarie, "Prediction of Froth Flotation Performance Using Convolutional Neural Networks," Mining, Metallurgy & Exploration, pp. 1-15, 2023.
[42] D. M. Powers, "Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation," arXiv preprint arXiv:2010.16061, 2020.
[43] C. L. Zitnick and P. Dollár, "Edge boxes: Locating object proposals from edges," in Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V 13, 2014, pp. 391-405.
[44] O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, et al., "Imagenet large scale visual recognition challenge," International journal of computer vision, vol. 115, pp. 211-252, 2015.
[45] C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, et al., "Going deeper with convolutions," in Proceedings of the IEEE conference on computer vision and pattern recognition, 2015, pp. 1-9.
[46] H. Rezatofighi, N. Tsoi, J. Gwak, A. Sadeghian, I. Reid, and S. Savarese, "Generalized intersection over union: A metric and a loss for bounding box regression," in Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2019, pp. 658-666.
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