Robust UAV detection based on saliency cues and magnified features on thermal images-Reference-Cited by-同舟云学术

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Robust UAV detection based on saliency cues and magnified features on thermal images

Published:2022-12-09 Issue:13 Volume:82 Page:20039-20058
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Mebtouche Naoual El-Djouher^ORCID,Baha Nadia

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-022-14271-3.pdf

Reference44 articles.

1. Achanta R, Hemami S, Estrada F, Susstrunk S (2009) Frequency-tuned salient region detection. In: Proceedings of the IEEE conference on Computer Vision and Pattern Recognition, pp 1597–1604. https://doi.org/10.1109/CVPR.2009.5206596

2. Aker C, Kalkan S (2017) Using deep networks for drone detection. In 14th IEEE international conference on advanced video and signal based surveillance (AVSS), pages 1–6. https://doi.org/10.1109/AVSS.2017.8078539

3. Andrasi P, Radisic T, Mustra M, Ivosevic J (2017) Night-time detection of uavs using thermal infrared camera. Transportation Research Procedia 28:183–190. https://doi.org/10.1016/j.trpro.2017.12.184.

4. Bell S, Zitnick CL, Bala K, Girshick R (2016) Inside-outside net: detecting objects in context with skip pooling and recurrent neural networks. In: IEEE Conference on Computer Vision and Pattern Recognition, pp 2874–2883. https://doi.org/10.1109/CVPR.2016.314

5. Carrio A, Lin Y, Saripalli S, Campoy P (2017) Obstacle detection system for small UAVs using ADS-B and thermal imaging. Journal of Intelligent and Robotic Systems 88:583–595.https://doi.org/10.1007/s10846-017-0529-2

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