Electronics Optics & Control, Volume. 31, Issue 8, 32(2024)
An Improved Algorithm for Detecting Ship Target in SAR Images Based on YOLOv5 Model
[1] [1] LIU S QLU LZHANG L Yet al.MRDDANet:a multiscale residual dense dual attention network for SAR image denoising[J].IEEE Transactions on Geoscience and Remote Sensing202260:113.
[2] [2] HU QHU S HLIU S Qet al.FINet:a feature interaction network for SAR ship objectlevel and pixellevel detection[J].IEEE Transactions on Geoscience and Remote Sensing2022.doi:10.1109/TGRS.2022.3222636.
[3] [3] HU QHU S HLIU S Q.BANet:a balance attention network for anchorfree ship detection in SAR images[J].IEEE Transactions on Geoscience and Remote Sensing 2022.doi:10.1109/TGRS.2022.3146027.
[5] [5] ZHAO KZHOU YCHEN X.A dense connection based SAR ship detection network[C]//2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC).Chongqing:IEEE2020:669673.
[6] [6] LIU S QLIU S YZHANG S Cet al.SSAUNet:a spectralspatial attentionbased UNet for hyperspectral image fusion[J].IEEE Transactions on Geoscience and Remote Sensing2022.doi:10.1109/TGRS.2022.3217168.
[7] [7] WANG Z CWANG R NFU X Yet al.Unsupervised ship detection for singlechannel SAR images based on multiscale saliency and complex signal kurtosis[J].IEEE Geoscience and Remote Sensing Letters2022.doi:10.1109/LGRS.2021.3064425.
[8] [8] AI J QPEI Z LYAO B Det al.AIS data aided Rayleigh CFAR ship detection algorithm of multipletarget environment in SAR images[J].IEEE Transactions on Aerospace and Electronic Systems202258(2):12661282.
[10] [10] LI Z YCHEN J LXIONG Yet al.A ship detection and imagery scheme for airborne singlechannel SAR in coastal regions[J].Remote Sensing202214(18):4670.
[11] [11] NOVAK L MOWIRKA G JBROWER W Set al.The automatic targetrecognition system in SAIP [J].The Lincoln Laboratory Journal199710(2):187202.
[12] [12] CUI X CSU YCHEN S W.A saliency detector for polarimetric SAR ship detection using similarity test [J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing201912(9):34233433.
[14] [14] LIM HCHAE DYOO J Het al.Template matchingbased target recognition algorithm development and verification using SAR images[J].Journal of the Korea Institute of Military Science and Technology201417(3):364377.
[15] [15] ZHANG T WZHANG X LKE Xet al.LSSSDDv1.0:a deep learning dataset dedicated to small ship detection from largescale Sentinel1 SAR images[J].Remote Sensing202012(18):2997.
[16] [16] ZHANG TZHANG X LSHI Jet al.Balance scene learning mechanism for offshore and inshore ship detection in SAR images[J].IEEE Geoscience and Remote Sensing Letters2022.doi:10.1109/LGRS.2020.3033988.
[21] [21] REDMON JDIVVALA SGIRSHICK Ret al.You only look once:unifiedrealtime object detection[C]//2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).Las Vegas:IEEE2016:779788.
[22] [22] HAN KWANG YTIAN Qet al.GhostNet:more features from cheap operations[C]//2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[23] [23] ZHANG Y FREN W QZHANG Zet al.Focal and efficient IoU loss for accurate bounding box regression[J].Neurocomputing2022506:146157.
[24] [24] WOO SPARK JLEE Jet al.CBAM:convolutional block attention module[C]//Computer VisionECCV 2018.Munich:Springer2018:319.
[25] [25] ZHANG T WZHANG X LLI J Wet al.SAR ship detection dataset (SSDD):official release and comprehensive data analysis[J].Remote Sensing202113(18):3690.
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SUN Peishuang, WEN Xianbin. An Improved Algorithm for Detecting Ship Target in SAR Images Based on YOLOv5 Model[J]. Electronics Optics & Control, 2024, 31(8): 32
Received: Jul. 5, 2023
Accepted: --
Published Online: Oct. 22, 2024
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