Optics and Precision Engineering, Volume. 31, Issue 24, 3618(2023)

Fine-grained remote sensing ship open set recognition

Changyuan LIU*... Ting LI and Chaofeng LAN |Show fewer author(s)
Author Affiliations
  • College of Measurement and Control Technology and Communication Engineering, Harbin University of Science and Technology, Harbin150080, China
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    References(23)

    [1] [1] 杜梅, 李景景. 复杂背景遥感影像中小目标船舶细粒度智能识别[J]. 舰船科学技术, 2021, 43(20): 205-207. doi: 10.3404/j.issn.1672-7649.2021.10A.069DUM, LIJ J. Fine-grained intelligent recognition of small target ships in remote sensing images with complex background[J]. Ship Science and Technology, 2021, 43(20): 205-207.(in Chinese). doi: 10.3404/j.issn.1672-7649.2021.10A.069

    [2] [2] 刘忻伟, 朴永杰, 郑亮亮, 等. 面向航天光学遥感复杂场景图像的舰船检测[J]. 光学 精密工程, 2023, 31(6): 892-904. doi: 10.37188/OPE.20233106.0892LIUX W, PIAOY J, ZHENGL L, et al. Ship detection for complex scene images of space optical remote sensing[J]. Opt. Precision Eng., 2023, 31(6): 892-904.(in Chinese). doi: 10.37188/OPE.20233106.0892

    [3] [3] 肖术明, 张叶, 常旭岭, 等. 面向航天光学遥感场景压缩感知测量值的舰船检测[J]. 光学 精密工程, 2023, 31(4): 517-532. doi: 10.37188/OPE.20233104.0517XIAOS M, ZHANGY, CHANGX L, et al. Ship detection oriented to compressive sensing measurements of space optical remote sensing scenes[J]. Opt. Precision Eng., 2023, 31(4): 517-532.(in Chinese). doi: 10.37188/OPE.20233104.0517

    [4] T Y LIN, A ROYCHOWDHURY, S MAJI. Bilinear CNN Models for Fine-Grained Visual Recognition, 1449-1457(7).

    [5] J L FU, H L ZHENG, T MEI. Look closer to see better: recurrent attention convolutional neural network for fine-grained image recognition, 4476-4484(21).

    [6] Y CHEN, Y L BAI, W ZHANG et al. Destruction and construction learning for fine-grained image recognition, 5152-5161(15).

    [7] Y KODAMA, Y N WANG, R KAWAKAMI et al. Open-set recognition with supervised contrastive learning, 1-5(25).

    [8] W DAI, W H DIAO, X SUN et al. CAMV: class activation mapping value towards open set fine-grained recognition. IEEE Access, 9, 8167-8177(2021).

    [9] Z W CAI, N VASCONCELOS. Cascade R-CNN: high quality object detection and instance segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43, 1483-1498(2021).

    [10] M VENDRAMINI, H OLIVEIRA, A MACHADO et al. Opening deep neural networks with generative models, 1314-1318(19).

    [11] Y YANG, C HOU, Y LANG et al. Open-set human activity recognition based on micro-Doppler signatures. Pattern Recognition, 85, 60-69(2019).

    [12] [12] 张婷. 基于注意力机制的图像内容理解与视觉推理算法研究[D]. 成都: 电子科技大学, 2021.ZHANGT. Research on Image Content Understanding and Visual Reasoning Algorithm Based on Attention Mechanism[D]. Chengdu: University of Electronic Science and Technology of China, 2021. (in Chinese)

    [13] J HU, L SHEN, G SUN. Squeeze-and-excitation networks, 7132-7141(2018).

    [14] Q L WANG, B G WU, P F ZHU et al. ECA-Net: efficient channel attention for deep convolutional neural networks, 11531-11539(13).

    [15] J PARK, J Y LEE et al. CBAM Convolutional Block Attention Module. Computer Vision-ECCV 2018, 3-19(2018).

    [17] H L ZHANG, H XU, T E LIN. Deep open intent classification with adaptive decision boundary. Proceedings of the AAAI Conference on Artificial Intelligence, 35, 14374-14382(2021).

    [18] Y D WEN, K P ZHANG, Z F LI et al. A Discriminative Feature Learning Approach for Deep Face Recognition. Computer Vision - ECCV 2016, 499-515(2016).

    [19] X W XU, X L ZHANG, T W ZHANG. Multi-Scale SAR Ship Classification with Convolutional Neural Network, 4284-4287(11).

    [20] Z W LIU, Z Q MIAO, X H ZHAN et al. Large-scale long-tailed recognition in an open world, 2532-2541(15).

    [21] X LUO, Z J YU, Z G ZHAO et al. Effective short text classification via the fusion of hybrid features for IoT social data. Digital Communications and Networks, 942-954(2022).

    [22] Y H DI, Z G JIANG, H P ZHANG. A public dataset for fine-grained ship classification in optical remote sensing images. Remote Sensing, 13, 747(2021).

    [23] C X GENG, S J HUANG, S C CHEN. Recent advances in open set recognition: a survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43, 3614-3631(2021).

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    Changyuan LIU, Ting LI, Chaofeng LAN. Fine-grained remote sensing ship open set recognition[J]. Optics and Precision Engineering, 2023, 31(24): 3618

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    Paper Information

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    Received: May. 16, 2023

    Accepted: --

    Published Online: Jan. 5, 2024

    The Author Email: LIU Changyuan (liuchangyuan@hrbust.edu.cn)

    DOI:10.37188/OPE.20233124.3618

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