面向高价值目标识别的SKConv-MobileNetV3改进

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关键词：计算机应用；目标识别；轻量级网络；MobileNetV3；自适应选择性卷积中图分类号：TP391.41 文献标志码：A DOI：10.3969/j.issn. 1673-3819.2025.05.006

Abstract：High-valuetarget recognitionusuallrequires high timelinessandaccuracy，andthelarge numberof parameters of traditionaldepconvolutionalneuralnetworksleads toalargenumberofapplicationscenariosbeing limited.Ahigh-value targetrecognitionmethodbasedon SKCony-MobileNetV3isproposed，byfusingtherecognitionresultsof SKConvconvolutionalkernelwiththeweightedoutputfeaturemapsofMobileNetV3convolutionallayer，andusingtheatentionmechanismto selectthemostrelevantimagecontentforfeature extraction，wecanimprovethefeatureinformation extractioncapabilityof theSKCon-MobileNetV3model whileimproving learning eficiency，under theconditionthatthenumberof parametersremainsunchanged，MobileNetV3model’sabilitytoextractfeatureinformation，whileimprovingthelearningeficiencyand recognitionaccuracy.Through theabovealgorithmimprovementandoptimization，sevenhigh-valuetargets withstrongcorrelation are selected in the NWPU-RESISC45 datasetand tested，and the resultsshow that the accuracy is improved by 7.01% （204号 compared withMobileNetV2 and 4，08% compared withMobileNetV3，which isable to better improve the recognitionaccuracy of high-value target recognition accuracy.

Keywords：computerapplication；targetidentification；lightweightnetwork；MobileNetV3；selectivekernelconvolution

信息化战争条件下，卫星、雷达、无人机侦察平台、精确制导弹药等的应用，使得战场环境日益复杂多变，作战形势发生深刻变化。（剩余10235字）