[1] 陈磊,张孙杰,王永雄.基于改进的YOLOv3及其在遥感图像中的检测[J].小型微型计算机系统,2020, 41(11):2321-2324.ChEn L, ZhAnG S J, WAnG Y X. Based on improved YOLOv3 and its detection in remote sensing images[J]. Journal of Chinese Computer Systems, 2020, 41(11):2321-2324.(in Chinese) [2] REn S Q, HE K M, GiRshick R, et al. Faster R-CNN:towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2017, 39(6):1137-1149. [3] HE K M, GkioxARi G, DoLLáR P, et al. Mask R-CNN[C]//2017 IEEE/CVF International Conference on Computer Vision(ICCV), 2017:2980-2988. [4] REDMon J, DivvALA S, GiRshick R, et al. You only look once:unified, real-time object detection[C]//2016 IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR),2016:779-788. [5] Liu W, AnGuELov D, ERhAn D, et al. SSD:single shot multibox detector[C]//European Conference on Computer Vision. Cham:Springer, 2016:21-37. [6] MA J Q, ShAo W Y, YE H, et al. Arbitrary-oriented scene text detection via rotation proposals[J]. IEEE Transactions on Multimedia, 2018, 20(11):3111-3122. [7] 汪鹏,郑文凤,史进,等.基于MFANet和上下文特征融合的遥感影像目标检测[J].应用科学学报,2022, 40(1):131-144.WAnG P, ZhEnG W F, Shi J, et al. Remote sensing image object detection based on MFANet and contextual features fusion[J]. Journal of Applied Sciences, 2022, 40(1):131-144(in Chinese) [8] DinG J, XuE N, LonG Y, et al. Learning RoI transformer for oriented object detection in aerial images[C]//2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR), 2020:2844-2853. [9] Xu Y C, Fu M T, WAnG Q M, et al. Gliding vertex on the horizontal bounding box for multioriented object detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2021, 43(4):1452-1459. [10] Lin T Y, DoLLáR P, GiRshick R, et al. Feature pyramid networks for object detection[C]//2017 IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR), 2017:936-944. [11] 朱节中,陈永,柯福阳,等.基于Siam-UNet++的高分辨率遥感影像建筑物变化检测[J].计算机应用研究, 2021, 38(11):3460-3465.Zhu J Z, ChEn Y, KE F Y, et al. Building change detection from high resolution remote sensing imagery based on Siam-UNet++[J]. Application Research of Computers, 2021, 38(11):3460-3465.(in Chinese) [12] LiAo M H, Zhu Z, Shi B G, et al. Rotation-sensitive regression for oriented scene text detection[C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR), 2018:5909-5918. [13] SonG G L, Liu Y, WAnG X G. Revisiting the sibling head in object detector[C]//2020IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR), 2020:11560-11569. [14] Wu Y, ChEn Y P, YuAn L, et al. Rethinking classification and localization for object detection[C]//2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR), 2020:10183-10192. [15] Qin R, Liu Q J, GAo G S, et al. MRDet:a multihead network for accurate rotated object detection in aerial images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60:1-12. [16] Guo C X, FAn B, ZhAnG Q, et al. AugFPN:improving multi-scale feature learning for object detection[C]//2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR), 2020:12592-12601. [17] XiE X X, ChEnG G, WAnG J B, et al. Oriented R-CNN for object detection[C]//2021IEEE/CVF International Conference on Computer Vision(ICCV), 2022:3500-3509. [18] MinG Q, MiAo L J, Zhou Z Q, et al. CFC-net:a critical feature capturing network for arbitrary-oriented object detection in remote-sensing images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60:1-14. [19] XiA G S, BAi X, DinG J, et al. DOTA:a large-scale dataset for object detection in aerial images[C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR), 2018:3974-3983. [20] Liu Z K, WAnG H Z, WEnG L B, et al. Ship rotated bounding box space for ship extraction from high-resolution optical satellite images with complex backgrounds[J]. IEEE Geoscience and Remote Sensing Letters, 2016, 13(8):1074-1078. [21] Zhu H G, ChEn X G, DAi W Q, et al. Orientation robust object detection in aerial images using deep convolutional neural network[C]//2015 IEEE International Conference on Image Processing(ICIP), 2015:3735-3739. [22] 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, 2021, 35(3):2355-2363. [23] HAn J M, DinG J, Li J, et al. Align deep features for oriented object detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60:1-11. |