Infrared and Laser Engineering, Volume. 51, Issue 4, 20220191(2022)
Infrared dim moving target detection algorithm assisted by incremental inertial navigation information in highdynamic air to ground background (Invited)
[1] Shuangchen Wu, Zhengrong Zuo. Infrared small target detection based on deep convolutional neural network. Journal of Infrared and Millimeter Waves, 38, 371-380(2019).
[2] X Bai, Y Bi. Derivative entropy-based contrast measure for infrared small-target detection. IEEE Transactions on Geoscience and Remote Sensing, 56, 2452-2466(2018).
[3] J Han, K Liang, B Zhou, et al. Infrared small target detection utilizing the multiscale relative local contrast measure. IEEE Geoscience and Remote Sensing Letters, 15, 612-616(2018).
[4] D Liu, Z Li, B Liu, et al. Infrared small target detection in heavy sky scene clutter based on sparse representation. Infrared Physics & Technology, 85, 13-31(2017).
[5] B Xiong, X Huang, M Wang, et al. Small target detection for infrared image based on optimal infrared patch-image model by solving modified adaptive RPCA problem. International Journal of Pattern Recognition and Artificial Intelligence, 35, 2150007(2021).
[6] B Zhao, C Wang, Q Fu, et al. A novel pattern for infrared small target detection with generative adversarial network. IEEE Transactions on Geoscience and Remote Sensing, 59, 4481-4492(2020).
[7] F Zhao, T Wang, S Shao, et al. Infrared moving small-target detection via spatiotemporal consistency of trajectory points. IEEE Geoscience and Remote Sensing Letters, 17, 122-126(2019).
[8] X Ren, J Wang, T Ma, et al. Adaptive background suppression method based on intelligent optimization for IR small target detection under complex cloud backgrounds. IEEE Access, 8, 36930-36947(2020).
[9] L Dong, B Wang, M Zhao, et al. Robust infrared maritime target detection based on visual attention and spatiotemporal filtering. IEEE Transactions on Geoscience and Remote Sensing, 55, 3037-3050(2017).
[10] D Pang, T Shan, W Li, et al. Infrared dim and small target detection based on greedy bilateral factorization in image sequences. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 3394-3408(2020).
[11] Y Z Yan, X S Huang, Y B Zheng, et al. INS-aided template correction method for matching. Journal of National University of Defense Technology, 33, 128-133(2011).
[12] W Wang. Current status and development trend of inertial technology research. Acta Automatica Sinica, 39, 723-729(2013).
[13] [13] Fanin F, Hong J H. Visual inertial navigation f a small UAV using sparse dense optical flow [C]2019 Wkshop on Research, Education Development of Unmanned Aerial Systems (RED UAS), IEEE, 2019: 206212.
[14] [14] Zhang L, Zhai Z, Niu W, et al. Visualinertial fusionbased registration between real synthetic images in airbne combined vision system[J]. International Journal of Advanced Robotic Systems, 2019, 16(2): 1729881419845528.
[15] [15] Meng Y, Wang W, Ding Z. Research on the visualinertial integrated carrier ling guidance algithm[J]. International Journal of Advanced Robotic Systems, 2018, 15(2): 1729881418764728.
[16] Y Kim, W Jung, H Bang. Visual target tracking and relative navigation for unmanned aerial vehicles in a GPS-denied environment. International Journal of Aeronautical and Space Sciences, 15, 258-266(2014).
Get Citation
Copy Citation Text
Ruitao Lu, Tong Shen, Xiaogang Yang, Qingge Li, Lu Chen, Zhengjie Zhu. Infrared dim moving target detection algorithm assisted by incremental inertial navigation information in highdynamic air to ground background (Invited)[J]. Infrared and Laser Engineering, 2022, 51(4): 20220191
Category: Special issue—Infrared detection and recognition technology under superspeed flow field
Received: Mar. 10, 2022
Accepted: --
Published Online: May. 18, 2022
The Author Email: Yang Xiaogang (doctoryxg@163.com)