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Journals >Laser & Optoelectronics Progress >Volume 61 >Issue 22 >Page 2237008 > Article

Laser & Optoelectronics Progress
Vol. 61, Issue 22, 2237008 (2024)

Infrared Tiny Target Detection Method Based on a Multi-Hop Deep Network

Shule Yan¹, Runyu Chen¹, Nian Cai^1,*, Shaoqiu Xu¹, and Jian Chen²

Author Affiliations

¹School of Information Engineering, Guangdong University of Technology, Guangzhou 510006, Guangdong , China

²Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, Jilin , China

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DOI: 10.3788/LOP240610 Cite this Article Set citation alerts

Shule Yan, Runyu Chen, Nian Cai, Shaoqiu Xu, Jian Chen. Infrared Tiny Target Detection Method Based on a Multi-Hop Deep Network[J]. Laser & Optoelectronics Progress, 2024, 61(22): 2237008 Copy Citation Text

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References

[1] Zhao M J, Li W, Li L et al. Single-frame infrared small-target detection: a survey[J]. IEEE Geoscience and Remote Sensing Magazine, 10, 87-119(2022).

[2] Hu W D, Li Q, Chen X S et al. Recent progress on advanced infrared photodetectors[J]. Acta Physica Sinica, 68, 120701(2019).

[3] Hou Y F, Ding C, Liu H et al. Enhancement and recognition of infrared target with low quality under backlight maritime condition[J]. Acta Optica Sinica, 43, 0612003(2023).

[4] Wang H, Zhou L P, Wang L. Miss detection vs. false alarm: adversarial learning for small object segmentation in infrared images[C], 8508-8517(2019).

[5] Dai Y M, Wu Y Q, Zhou F et al. Asymmetric contextual modulation for infrared small target detection[C], 949-958(2021).

[6] Dai Y M, Li X, Zhou F et al. One-stage cascade refinement networks for infrared small target detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 61, 5000917(2023).

[7] Li B Y, Xiao C, Wang L G et al. Dense nested attention network for infrared small target detection[J]. IEEE Transactions on Image Processing, 32, 1745-1758(2023).

[8] Mou X G, Lei S, Zhou X. YOLO-FR: a YOLOv5 infrared small target detection algorithm based on feature reassembly sampling method[J]. Sensors, 23, 2710(2023).

[9] Wang H X, Dong H, Zhou Z Q. Review on dim small target detection technologies in infrared single frame images[J]. Laser & Optoelectronics Progress, 56, 080001(2019).

[10] Liu S T, Huang D, Wang Y H. Receptive field block net for accurate and fast object detection[M]. Computer vision-ECCV 2018, 11215, 404-419(2018).

[11] Hui B W, Song Z Y, Fan H Q et al. A dataset for infrared detection and tracking of dim-small aircraft targets under ground/air background[J]. China Scientific Data, 5, 291-302(2020).

[12] Desai S, Ramaswamy H G. Ablation-CAM: visual explanations for deep convolutional network via gradient-free localization[C], 972-980(2020).

[13] Shi T J, Gong J N, Hu J M et al. Feature-enhanced CenterNet for small object detection in remote sensing images[J]. Remote Sensing, 14, 5488(2022).

[14] Xu C, Wang J W, Yang W et al. Dot distance for tiny object detection in aerial images[C], 1192-1201(2021).

[15] Wang J W, Xu C, Yang W et al. A normalized Gaussian Wasserstein distance for tiny object detection[EB/OL]. https://arxiv.org/abs/2110.13389

[16] Wu H K, Dong K Y, Song Y S et al. Infrared small target detection method based on weighted patch contrast[J]. Laser & Optoelectronics Progress, 60, 1628006(2023).

[17] Sun Y, Yang J G, An W. Infrared dim and small target detection via multiple subspace learning and spatial-temporal patch-tensor model[J]. IEEE Transactions on Geoscience and Remote Sensing, 59, 3737-3752(2021).

[18] Tong X Z, Su S J, Wu P et al. MSAFFNet: a multiscale label-supervised attention feature fusion network for infrared small target detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 61, 5002616(2023).

[19] Guo L C, Sun X L, Zhang W L et al. Small aerial target detection using trajectory hypothesis and verification[J]. IEEE Transactions on Geoscience and Remote Sensing, 61, 5609314(2023).

[20] Yan P T, Hou R Z, Duan X G et al. STDMANet: spatio-temporal differential multiscale attention network for small moving infrared target detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 61, 5602516(2023).

[21] Fu K R, Zhao Q J, Gu I Y H et al. Deepside: a general deep framework for salient object detection[J]. Neurocomputing, 356, 69-82(2019).

[22] Yu J H, Jiang Y N, Wang Z Y et al. UnitBox: an advanced object detection network[C], 516-520(2016).

[23] Zhou X Y, Wang D Q, Krähenbühl P. Objects as points[EB/OL]. https://arxiv.org/abs/1904.07850

[24] Sun H, Bai J X, Yang F et al. Receptive-field and direction induced attention network for infrared dim small target detection with a large-scale dataset IRDST[J]. IEEE Transactions on Geoscience and Remote Sensing, 61, 5000513(2023).

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Shule Yan, Runyu Chen, Nian Cai, Shaoqiu Xu, Jian Chen. Infrared Tiny Target Detection Method Based on a Multi-Hop Deep Network[J]. Laser & Optoelectronics Progress, 2024, 61(22): 2237008

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