SAR图像船舶目标Transformer轻量化检测方法分析与设计

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中图分类号：TP391 文献标志码：A 文章编号：2095-2945（2025）24-0007-07

Abstract：ShiptargetdetectioninSARimagesisofgreatsignificanceinmaritimesearchandrescue，aswellasin environmentalmonitoring.Inrecentyears，Transformer-baseddetectionnetworkshavedevelopedrapidlyinthefieldofSAR targetdetection.However，thiskindofSARshipdetectionnetworkstllhastwoprominentproblems：dificultyindetecting fshoreshipsandhighcalculationcomplexity.Thispaperconductsanin-depthanalysisoftheseproblems.Aimingatthe problemof highfalsealarmsandmanymissedmissesincoastal shipdetection，thenetwork structureisreconstructed，a deformableatentionmechanismisusedinthebackbonenetworkpart，andadata-relatedofsetgeneratorisintroduced；a contour-guidedshapeenhancementmoduleisusedinthenecknetworktosuppesstheinterferenceofbackground clutter generatedbycoasts，islandsorwavesontheimage.Inordertosolvetheproblemofcomputingefciencythispaperaddsa dynamicnetworksparsitymoduletothenetworkfrontendtograduallypruneredundantinformationindiferentlayers. Experimentalresultsshowthattheimproveddetectionnetworknotonlyimprovesthedetectionefectofofshoreships，butalso reduces the computing complexity，and has practical application value.

Keywords：targetdetection;syntheticapertureradar （SAR）；Transformer，contourenhancement;deformableattention

SAR船舶检测在海上交通监控、非法捕捞监测等领域具有重要价值，尤其在恶劣天气和复杂环境下提供了全天候的远程监测能力。（剩余12227字）