• Journal of Infrared and Millimeter Waves
  • Vol. 42, Issue 5, 701 (2023)
Xin-Yi YE1、2, Si-Li GAO2, and Fan-Ming Li2、*
Author Affiliations
  • 1School of Information Science and Technology,ShanghaiTech University,Shanghai 201210,China
  • 2Key Laboratory of Infrared System Detection and Imaging Technology,Shanghai Institute of Technical Physics,Chinese Academy of Sciences,Shanghai 200083,China
  • show less
    DOI: 10.11972/j.issn.1001-9014.2023.05.015 Cite this Article
    Xin-Yi YE, Si-Li GAO, Fan-Ming Li. ACE-STDN: An infrared small target detection network with adaptive contrast enhancement[J]. Journal of Infrared and Millimeter Waves, 2023, 42(5): 701 Copy Citation Text show less
    References

    [1] V T Tom, T Peli, M Leung et al. Morphology-based algorithm for point target detection in infrared backgrounds(1993).

    [2] X Wang, Z Peng, P Zhang et al. Infrared Small Target Detection via Nonnegativity-Constrained Variational Mode Decomposition. IEEE Geoscience and Remote Sensing Letters, 14, 1700-1704(2017).

    [3] Chen , C L Philip, H Li et al. A Local Contrast Method for Small Infrared Target Detection. IEEE Transactions on Geoscience & Remote Sensing, 52, 574-581(2014).

    [4] X Bai, Y Bi. Derivative Entropy-Based Contrast Measure for Infrared Small-Target Detection. IEEE Transactions on Geoscience and Remote Sensing, 1-15(2018).

    [5] C Gao, D Meng, Y Yang et al. Infrared Patch-Image Model for Small Target Detection in a Single Image. IEEE Transactions on Image Processing, 22, 4996-5009(2013).

    [6] L Zhang, L Peng, T Zhang et al. Infrared Small Target Detection via Non-Convex Rank Approximation Minimization Joint l2,1 Norm. Remote Sensing, 10, 1821(2018).

    [7] T Y Lin, P Dollar, R Girshick et al. Feature Pyramid Networks for Object Detection, 936-944(2017).

    [8] Y Li, Y Chen, N Wang et al. Scale-Aware Trident Networks for Object Detection, 6053-6062(2019).

    [9] Y Bai, Y Zhang, M Ding et al. SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network(2018).

    [10] J Li, X Liang, Y Wei et al. Perceptual Generative Adversarial Networks for Small Object Detection, 1951-1959(2017).

    [11] J Noh, W Bae, W Lee et al. Better to Follow, Follow to Be Better: Towards Precise Supervision of Feature Super-Resolution for Small Object Detection, 9724-9733(2019).

    [12] S Bell, C L Zitnick, K Bala et al. Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks, 2874-2883(2016).

    [13] H Hu, J Gu, Z Zhang et al. Relation Networks for Object Detection, 3588-3597(2018).

    [14] T Xu, D K Du, Z He et al. PyramidBox: A Context-assisted Single Shot Face Detector(2018).

    [15] S Zhang, X Zhu, Z Lei et al. S3FD: Single Shot Scale-invariant Face Detector, 192-201(2017).

    [16] S Zhang, X Zhu, Z Lei et al. FaceBoxes: A CPU real-time face detector with high accuracy, 1-9(2017).

    [17] J Yu, Y Jiang, Z Wang et al. UnitBox: An Advanced Object Detection Network, 516-520(2016).

    [18] Z Zheng, P Wang, W Liu et al. Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression(2019).

    [19] C Xu, J Wang, W Yang et al. Dot Distance for Tiny Object Detection in Aerial Images, 1192-1201(2021).

    [20] C Xu, J Wang, W Yang et al. Detecting Tiny Objects in Aerial Images: A Normalized Wasserstein Distance and a New Benchmark. ISPRS Journal of Photogrammetry and Remote Sensing, 190, 79-93(2021).

    [21] H Wang, L Zhou, L Wang. Miss Detection vs. False Alarm: Adversarial Learning for Small Object Segmentation in Infrared Images(2019).

    [22] B Li, C Xiao, L Wang et al. Dense Nested Attention Network for Infrared Small Target Detection. IEEE Transactions on Image Processing(2022).

    [23] Y Dai, Y Wu, F Zhou et al. Asymmetric Contextual Modulation for Infrared Small Target Detection, 950-959(2021).

    [24] X Tong, B Sun, J Wei. EAAU-Net: Enhanced Asymmetric Attention U-Net for Infrared Small Target Detection. Remote Sensing, 13(2021).

    [25] F Liu, C Gao, F Chen et al. Infrared Small-Dim Target Detection with Transformer under Complex Backgrounds. arXiv e-prints(2021).

    [26] Z Liu, H Mao, C Y Wu et al. A ConvNet for the 2020s, 11966-11976(2022).

    [27] M Tan, R Pang, Q V Le. EfficientDet: Scalable and Efficient Object Detection, 10778-10787(2020).

    [28] Sungho Kim, Joo-Hyoung Lee. Robust Scale Invariant Target Detection Using the Scale-Space Theory and Optimization for IRST. Pattern Analysis & Applications, 14, 57-66(2011).

    [29] B Hui, Z Song, H Fan et al. A Dataset for Infrared Image Dim-Small Aircraft Target Detection and Tracking under Ground / Air Background. Science Data Bank(2019).

    [30] A Dosovitskiy, L Beyer, A Kolesnikov et al. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale(2021).

    [31] X Zhu, S Lyu, X Wang et al. TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios, 2778-2788(2021).

    Xin-Yi YE, Si-Li GAO, Fan-Ming Li. ACE-STDN: An infrared small target detection network with adaptive contrast enhancement[J]. Journal of Infrared and Millimeter Waves, 2023, 42(5): 701
    Download Citation