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Laser & Optoelectronics Progress, Volume. 62, Issue 4, 0428005(2025)

Branch Alignment Learning for Oriented Object Detection in Remote Sensing Images

Hailong Zhang1、*, Qiaolin Zeng1, Jie Yang2, Bowei Wang2, and Chengfang Wang1
Author Affiliations
  • 1College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
  • 2Sichuan Meteorological Disaster Prevention Technology Center, Sichuan Meteorological Bureau, Chengdu 610072, Sichuan , China
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    [1] Xia G S, Bai X, Ding J et al. DOTA: a large-scale dataset for object detection in aerial images[C], 3974-3983(2018).

    [2] Yang X, Yan J C, Feng Z M et al. R3Det: refined single-stage detector with feature refinement for rotating object[J]. Proceedings of the AAAI Conference on Artificial Intelligence, 35, 3163-3171(2021).

    [3] Han J M, Ding J, Li J et al. Align deep features for oriented object detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 60, 5602511(2021).

    [4] Yang X, Yang X J, Yang J R et al. Learning high-precision bounding box for rotated object detection via kullback-leibler divergence[EB/OL]. https://arxiv.org/abs/2106.01883v5

    [5] Hu Z H, Li Y H. Object detection algorithm in remote sensing images based on improved YOLOX[J]. Laser & Optoelectronics Progress, 61, 1228004(2024).

    [6] Li C Y, Ge L. Lightweight low-light object detection algorithm based on YOLOv7[J]. Laser & Optoelectronics Progress, 61, 1437004(2024).

    [7] Tian Z, Shen C H, Chen H et al. FCOS: fully convolutional one-stage object detection[C], 9626-9635(2019).

    [8] Jiang B R, Luo R X, Mao J Y et al. Acquisition of localization confidence for accurate object detection[M]. Computer vision-ECCV 2018, 11218, 816-832(2018).

    [9] Ming Q, Zhou Z Q, Miao L J et al. Dynamic anchor learning for arbitrary-oriented object detection[J]. Proceedings of the AAAI Conference on Artificial Intelligence, 35, 2355-2363(2021).

    [10] Sun P, Zheng Y B, Wu W Q et al. Metric-aligned sample selection and critical feature sampling for oriented object detection[EB/OL]. https://arxiv.org/abs/2306.16718v2

    [11] Zhang S F, Wen L Y, Lei Z et al. RefineDet: single-shot refinement neural network for object detection[J]. IEEE Transactions on Circuits and Systems for Video Technology, 31, 674-687(2021).

    [12] Song G L, Liu Y, Wang X G. Revisiting the sibling head in object detector[C], 11560-11569(2020).

    [13] Xu C, Ding J, Wang J W et al. Dynamic coarse-to-fine learning for oriented tiny object detection[C], 7318-7328(2023).

    [14] Xu C, Wang J W, Yang W et al. Detecting tiny objects in aerial images: a normalized Wasserstein distance and a new benchmark[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 190, 79-93(2022).

    [15] Yang X, Yan J C, Ming Q et al. Rethinking rotated object detection with Gaussian Wasserstein distance loss[EB/OL]. https://arxiv.org/abs/2101.11952v4

    [16] Wei X G, Cao L, Tian S et al. Remote sensing target detection based on multilevel self-attention enhancement[J]. Laser & Optoelectronics Progress, 60, 2028004(2023).

    [17] Yu Y, Da F P. Phase-shifting coder: predicting accurate orientation in oriented object detection[C], 13354-13363(2023).

    [18] Yang X, Yang J R, Yan J C et al. SCRDet: towards more robust detection for small, cluttered and rotated objects[C], 8231-8240(2019).

    [19] Hou L P, Lu K, Xue J et al. Shape-adaptive selection and measurement for oriented object detection[J]. Proceedings of the AAAI Conference on Artificial Intelligence, 36, 923-932(2022).

    [20] Yang X, Zhou Y, Zhang G F et al. The KFIoU loss for rotated object detection[EB/OL]. https://arxiv.org/abs/2201.12558v6

    [21] Zeng Y, Yang X, Li Q et al. ARS-DETR: aspect ratio sensitive oriented object detection with transformer[EB/OL]. https://arxiv.org/abs/2303.04989

    [22] Han J M, Ding J, Xue N et al. ReDet: a rotation-equivariant detector for aerial object detection[C], 2785-2794(2021).

    [23] Ding J, Xue N, Long Y et al. Learning RoI transformer for oriented object detection in aerial images[C], 2844-2853(2019).

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    Hailong Zhang, Qiaolin Zeng, Jie Yang, Bowei Wang, Chengfang Wang. Branch Alignment Learning for Oriented Object Detection in Remote Sensing Images[J]. Laser & Optoelectronics Progress, 2025, 62(4): 0428005

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Jun. 19, 2024

    Accepted: Jul. 19, 2024

    Published Online: Mar. 4, 2025

    The Author Email:

    DOI:10.3788/LOP241506

    CSTR:32186.14.LOP241506

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology