Super pixels transmission map-based object detection using deep neural network in UAV video

References

• Walia K. VTOL UAV market 2025 research report—industry size & share; value market research: Maharashtra, 2019.
   Google Scholar
• Chen Z, Wang C, Luo H, et al. Vehicle detection in high-resolution aerial images based on fast sparse representation classification and multi-order feature. IEEE Trans Intell Transp Syst. 2016;17(8):2296–2309. doi:10.1109/tits.2016.2517826.
   Web of Science ®Google Scholar
• Moranduzzo T, Melgani F. Detecting cars in UAV images with a catalog-based approach. IEEE Trans Geosci Remote Sens. 2014;52(10):6356–6367.
   Web of Science ®Google Scholar
• Radovic M, Adarkwa O, Wang Q. Object recognition in aerial images using convolutional neural networks. J Imaging. 2017;3(2):21. doi:10.3390/jimaging3020021.
   Web of Science ®Google Scholar
• Asha Paul M, Jansi Rani PA, Liba Manopriya L. Gradient-based aura feature extraction for coral reef classification. Wirel Pers Commun. 2020;114(1):149–166.
   Web of Science ®Google Scholar
• Asha Paul M, Jansi Rani PA. Statistical modeling based directional pattern design (SMDPD) feature extraction for coral reef classification. Environ Monit Assess. 2021;193:583. doi:10.1007/s10661-021-09314-5.
   PubMed Web of Science ®Google Scholar
• Asha Paul MK, Kavitha J, Jansi Rani PA. Keyframe extraction techniques: a review. Recent Pat Comput Sci. 2018;11(1):3–16.
   Google Scholar
• Bazi Y, Melgani F. Convolutional SVM networks for object detection in UAV imagery. IEEE Trans Geosci Remote Sens. 2018;56(6):3107–3118.
   Web of Science ®Google Scholar
• Wang X, Cheng P, Liu X, et al. Fast and accurate, convolutional neural network based approach for object detection from UAV. In: IECON 2018-44th Annual Conference of the IEEE Industrial Electronics Society; 2018; IEEE. p. 3171–3175.
   Google Scholar
• Zhang R, Shao Z, Huang X, et al. Object detection in UAV images via global density fused convolutional network. Remote Sens (Basel). 2020;12(19):3140.
   Web of Science ®Google Scholar
• Hu Y, Wu X, Zheng G, et al. Object detection of UAV for anti-UAV based on improved YOLO v3. In: 2019 Chinese Control Conference (CCC); 2019 Jul; IEEE. p. 8386–8390.
   Google Scholar
• Kavitha J, Jansi Rani PA, Mohamed Fathimal P, et al. An efficient shot boundary detection using data-cube searching technique. Recent Adv Comput Sci Commun. 2020;13(4):798–807.
   Google Scholar
• Mueller M, Smith N, Ghanem B. A benchmark and simulator for UAV tracking. In: Leibe B, Matas J, Sebe N, Welling M, editors. Proceedings of the European Conference on Computer Vision; 2016 Oct.; Cham: Springer. p. 445–461.
   Google Scholar
• Asha Paul M, Jansi Rani PA, Sheela J. Coral reef classification using improved WLD feature extraction with convolution neural network classification. Recent Adv Comput Sci Commun. 2021;14(8):2579–2588.
   Google Scholar
• Bejiga MB, Zeggada A, Melgani F. Convolutional neural networks for near real-time object detection from UAV imagery in avalanche search and rescue operations. In: 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS); 2016; IEEE. p. 693–696.
   Google Scholar
• Zhang X, Izquierdo E, Chandramouli K. Dense and small object detection in UAV vision based on cascade network. In: Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops; 2019. p. 0–0.
   Google Scholar
• Sivakumar V, Narenthiran A, Li J, et al. Comparison of object detection and patch-based classification deep learning models on mid-to late-season weed detection in UAV imagery. Remote Sens (Basel). 2020;12(13):2136.
   Web of Science ®Google Scholar
• Liu Y, Yang F, Hu P. Small-object detection in UAV-captured images via multi-branch parallel feature pyramid networks. IEEE Access. 2020;8:145740–145750.
   Web of Science ®Google Scholar
• Liu M, Wang X, Zhou A, et al. UAV-YOLO: small object detection on unmanned aerial vehicle perspective. Sensors. 2020;20(8):2238.
   PubMed Web of Science ®Google Scholar
• Zhang H, Sun M, Li Q, et al. An empirical study of multi-scale object detection in high resolution UAV images. Neurocomputing. 2021;421:173–182.
   Web of Science ®Google Scholar
• Ayalew A, Pooja. A review on object detection from unmanned aerial vehicle using CNN. 2019. https://www.researchgate.net/publication/337731505_A_review_on_object_detection_from_Unmanned_Aerial_Vehicle_using_CNN.
   Google Scholar
• Chandana P, Ghantasala GP, Jeny JRV, et al. An effective identification of crop diseases using faster region based convolutional neural network and expert systems. Int J Electr Comput Eng. 2020;10(6):6531–6540.
   Google Scholar
• He Z, Zhang L. Domain adaptive object detection via asymmetric tri-way faster-RCNN. In: Computer Vision–ECCV 2020: 16th European Conference; 2020 Aug 23–28; Glasgow, UK, Proceedings, Part XXIV 16; 2020; Springer International Publishing. p. 309–324.
   Google Scholar
• Pramanik A, Pal SK, Maiti J, et al. Granulated RCNN and multi-class deep sort for multi-object detection and tracking. IEEE Trans Emerg Top Comput Intell. 2022;6(1):171–181. doi:10.1109/TETCI.2020.3041019.
   Google Scholar
• Li C, Sun X, Cai J. Intelligent mobile drone system based on real-time object detection. J Artif Intell. 2019;1(1):1–8. doi:10.32604/jai.2019.06064.
   Google Scholar
• Vaddi S. Efficient object detection model for real-time UAV applications. Graduate Theses and Dissertations. 17592; 2019. https://lib.dr.iastate.edu/etd/17592.
   Google Scholar
• Mittal U, Srivastava S, Chawla P. Object detection and classification from thermal images using region-based convolutional neural network. J Comput Sci. 2019;15(7):961–971. doi:10.3844/jcssp.2019.961.971.
   Google Scholar
• Sun C, Zhan W, She J, et al. Object detection from the video by drone via convolutional neural networks. Math Probl Eng. 2020;2020. Article ID 4013647, 10 pages. doi:10.1155/2020/4013647.
   Web of Science ®Google Scholar
• Cheng J, Liu Y, Li G, et al. An efficient detection approach for unmanned aerial vehicle (UAV) small targets based on group convolution. Appl Sci. 2022;12(11):5402.
   Google Scholar
• Al-Qubaydhi N, Alenezi A, Alanazi T, et al. Detection of unauthorized unmanned aerial vehicles using YOLOv5 and transfer learning. Electronics (Basel). 2022;11(17):2669.
   Web of Science ®Google Scholar
• Zhou H, Ma A, Niu Y, et al. Small-object detection for UAV-based images using a distance metric method. Drones. 2022;6(10):308.
   Google Scholar
• Li X, Li H, Jiang Y, et al. Lightweight detection network based on Sub-pixel convolution and objectness-aware structure for UAV images. Sensors. 2021;21(16):5656.
   PubMed Web of Science ®Google Scholar
• Wang C, Meng L, Gao Q, et al. A lightweight UAV swarm detection method integrated attention mechanism. Drones. 2023;7(1):13.
   Google Scholar
• Rohan A, Rabah M, Kim S-H. Convolutional neural network-based real-time object detection and tracking for parrot AR drone 2. IEEE Access. 2019: 1–1. doi:10.1109/ACCESS.2019.2919332.
   Google Scholar
• Mccartney EJ. Optics of the atmosphere: scattering by molecules and particles. IEEE J Quantum Electron. 1976;24(7):76–77.
   Google Scholar
• Achanta R, Shaji A, Smith K, et al. SLIC superpixels compared to state-of-the-art superpixel methods. IEEE Trans Pattern Anal Mach Intell. 2012;34(11):2274–2282.
   PubMed Web of Science ®Google Scholar
• Gong Y-J, Zhou Y. Differential evolutionary superpixel segmentation. IEEE Trans Image Process. 2018;27(3):1390–1404.
   PubMed Web of Science ®Google Scholar
• Liu K, Mattyus G. Fast multiclass vehicle detection on aerial images. IEEE Geosci Remote Sens Lett. 2015;12(9):1938–1942.
   Web of Science ®Google Scholar
• Xiao X, Zhou Y, Gong Y-J. Content-adaptive superpixel segmentation. IEEE Trans Image Process. 2018;27(6):2883–2896.
   PubMed Web of Science ®Google Scholar