Infrared and Laser Engineering, Volume. 53, Issue 11, 20240290(2024)
Intelligent suppression of infrared dim and small target detection method under complex space backgrounds
[4] [4] LUO X, WANG S, Li B, et al. A mixed noise filter acceleration algithm based on mean value variance similarity [C]2011 Second International Conference on Digital Manufacturing & Automation. IEEE, 2011: 5558.
[6] [6] ISMAEL S H, MUSTAFA F M, OKÜMÜS I T. A new approach of image denoising based on discrete wavelet transfm[C]2016 Wld Symposium on Computer Applications & Research (WSCAR). IEEE, 2016: 3640.
[7] Huabing WANG, Lanjun WAN. Small infrared target detection based on contourlet transformation and target characteristic analysis. Journal of Electronic Measurement and Instrument, 33, 120-125(2019).
[8] [8] CAO Y P, HE Z W, YANG J X, et al. A multiscale nonunifmity crection method based on wavelet decomposition guided filtering f uncooled long wave infrared camera[J]. Signal Processing : Image Communication , 2018, 60: 1321.
[11] [11] DESHPE S D, ER M H, VENKATESWARLU R, et al. Maxmean maxmedian filters f detection of small targets [C]Signal Data Processing of Small Targets, SPIE, 1999, 3809: 7483.
[13] [13] TOM V T, PELI T, LEUNG M, et al. Mphologybased algithm f point target detection in infrared backgrounds [C]Signal Data Processing of Small Targets, SPIE, 1993, 1954: 211.
[14] Yang WANG, Qinbo ZHENG, Junping ZHANG. Infrared small target detection based on mathematical morphology. Infrared and Laser Engineering, 32, 28-31(2003).
[15] Yiqiang FANG, Zhengdong CHENG, Xiang FAN et al. A morphological infrared small target detection algorithm based on variance labeling. Chinese Journal of Electronics, 43, 338(2015).
[16] C L P CHEN, H LI, Y WEI et al. A local contrast method for small infrared target detection. IEEE Transactions on Geoscience and Remote Sensing, 52, 574-581(2013).
[19] Z LI, F LIU, W YANG et al. A survey of convolutional neural networks: analysis, applications, and prospects. IEEE Transactions on Neural Networks and Learning Systems, 33, 6999-7019(2021).
[20] [20] WU Tianshu, ZHANG Zhijia, LIU Yunpeng, et al. A lightweight small object detection algithm based on improved SSD[J]. Infrared Laser Engineering , 2018, 47(7): 0703005. (in Chinese)
[23] [23] DAI Y M, WU Y, ZHOU F, et al. Asymmetric contextual modulation f infrared small target detection [C]Proceedings of the IEEECVF Winter Conference on Applications of Computer Vision, 2021: 950959.
[24] [24] LI B, XIAO C, WANG L, et al. Dense nested attention wk f infrared small target detection[J]. IEEE Transactions on Image Processing , 2023, 32: 17451758.
[25] [25] HE K, ZHANG X, REN S, et al. Deep residual learning f image recognition[C]Proceedings of the IEEE Conference on Computer Vision Pattern Recognition, 2016: 770778.
[26] [26] DIVAKAR N, BABU R V. Image denoising via CNNs: An adversarial approach [C]IEEE Conference on Computer Vision Pattern Recognition, 2017: 10761083.
[30] [30] HAN J, LIANG K, ZHOU B, et al. Infrared small target detectionutilizing the multiscale relative local contrast measure[J]. IEEE Geoscience Remote Sensing Letters , 2018, 15(4): 612616.
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Shiran GE, Ruikai LIU, Na LI, Huijie ZHAO. Intelligent suppression of infrared dim and small target detection method under complex space backgrounds[J]. Infrared and Laser Engineering, 2024, 53(11): 20240290
Category: 图像处理
Received: Jul. 4, 2024
Accepted: --
Published Online: Dec. 13, 2024
The Author Email: LI Na (lina_17@buaa.edu.cn)