• Infrared and Laser Engineering
  • Vol. 51, Issue 3, 20210106 (2022)
Xinhao Jiang, Wei Cai, Zhiyong Yang, Peiwei Xu, and Bo Jiang
Author Affiliations
  • Armament Launch Theory and Technology Key Discipline Laboratory of PRC, Rocket Force University of Engineering, Xi′an 710025, China
  • show less
    DOI: 10.3788/IRLA20210106 Cite this Article
    Xinhao Jiang, Wei Cai, Zhiyong Yang, Peiwei Xu, Bo Jiang. Infrared dim and small target detection based on YOLO-IDSTD algorithm[J]. Infrared and Laser Engineering, 2022, 51(3): 20210106 Copy Citation Text show less
    References

    [1] Zhang W, Cong M, Wang L. Algithms f optical weak small targets detection tracking: Review[C]International Conference on Neural wks Signal Processing, Proceedings of the 2003. IEEE, 2003.

    [2] P Du, A Hamdulla. Infrared small target detection using homogeneity-weighted local contrast measure. IEEE Geoence and Remote Sensing Letters, 17, 514-518(2020).

    [3] S D Pan, S Zhang, M Zhao, et al. Infrared small target detection based onweighted scene prior. Journal of Infrared and Millimeter Waves, 38, 633-641(2019).

    [4] Girshick R, Donahue J, Darrell T, et al. Rich feature hierarchies f accurate object detection semantic segmentation[C]2014 IEEE Conference on Computer Vision Pattern Recognition. New Yk: IEEE, 2014: 580587.

    [5] Redmon J, Divvala S, Girshick R, et al. You only look once: Unified, realtime object detection[C]2016 IEEE Conference on Computer Vision Pattern Recognition (CVPR). New Yk: IEEE, 2016: 779788.

    [6] Liu W, Anguelov D, Erhan D, et al. SSD single shot MultiBox detect[M]Leibe B, Matas J, Sebe N, et al. Computer visionECCV 2016. Lecture notes in computer science. Cham: Springer, 2016, 9905: 2137.

    [7] Xiaofeng Zhao, Mingyang Xu, Danpiao Wang, et al. Infrared camouflage detection method for special vehicles based on improved SSD. Infrared and Laser Engineering, 48, 1104003(2019).

    [8] M R Ju, H B Luo, Z B Wang, et al. Improved YOLO v3 algorithm and its application in small target detection. Acta Optica Sinica, 39, 0715004(2019).

    [9] H Y Qi, T H Xu, G Wang, et al. MYOLOv3-Tiny: A new convolutional neural network architecture for real-time detection of track fasteners. Computers in Industry, 103303(2020123).

    [10] Glenn Jocher, Alex Stoken, Jirka Bovec, et al. Ultralyticsyolov5: v3.1Bug Fixes Perfmance Improvements (Version v3.1) [EBOL]. (20201029)[20210119]. https:zenodo.grecd4154370.

    [11] Howard J, Zhu M L, Chen B, et al. Mobiles: Efficient convolutional neural wks f mobile vision applications[EBOL]. (20170517)[20210119]. https:arxiv.gabs1704.04861.

    [12] Liu S, Qi L, Qin H F, et al. Path aggregation wk f instance segmentation[C]2018 IEEECVF Conference on Computer Vision Pattern Recognition. New Yk: IEEE, 2018: 87598768.

    [13] Liu S T, Huang D, Wang Y H. Receptive field block f accurate fast object detection[C]Proceedings of the European Conference on Computer Vision(ECCV). New Yk: IEEE, 2018: 385400.

    [14] Zheng Z, Wang P, Liu W, et al. DistanceIoU Loss: Faster better learning f bounding box regression[C]AAAI Conference on Artificial Intelligence, 2020.

    [15] Hui B W, Song Z Y, Fan H Q, et al. A dataset f infrared image dimsmall aircraft target detection tracking under groundair background [DBOL]. Science Data Bank, 2019. (20191028) [20210119]. http:www.dx.doi.g10.11922sciencedb.902.

    [16] Davis J W, Keck M A. A twostage template approach to person detection in thermal imagery[C]Application of Computer Vision, WACVMOTION''05, IEEE Wkshops on IEEE, 2005.

    [17] FREE Teledyne FLIR thermal dataset f algithm training[EBOL]. (20190618)[20210119]. https:www.flir.cnoemadasadasdatasetfm.

    [18] Tan M X, Pang R M, Le Q V. EfficientDet: Scalable efficient object detection[C]Proceedings of 2020 IEEECVF Conference on Computer Vision Pattern Recognition. Seattle, USA: IEEE, 2020: 1078110790.

    [19] Zhou X, Wang D, Krähenbühl P. Objects as points [EBOL]. (20190416)[20210119]. https:doi.g10.48550arXiv.1904.07850.

    [20] Wang C Y, Bochkovskiy A, Liao H. ScaledYOLOv4: Scaling cross stage partial wk [EBOL]. (20201116)[20210331]. https:arxiv.gpdf2011.08036.pdf.

    CLP Journals

    [1] Guang Zhai, Shengran Hu, Yiyong Sun. Research on LSTM method of high dynamic dim and small targets detection for space-based infrared early warning[J]. Infrared and Laser Engineering, 2023, 52(10): 20230010

    Xinhao Jiang, Wei Cai, Zhiyong Yang, Peiwei Xu, Bo Jiang. Infrared dim and small target detection based on YOLO-IDSTD algorithm[J]. Infrared and Laser Engineering, 2022, 51(3): 20210106
    Download Citation