基于改進DCGAN的棉葉螨為害圖像數(shù)據(jù)增強方法
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中圖分類號：TP391.4 文獻標識碼：A 文章編號： 1000-4440（2025）05-0916-1
Abstract：Toaddressthe insufficientand imbalancedsample sizes of cottonleaf mitedamage images at different severity levels，reducedatacollectioncosts，andenhancethequalityanddiversityofimagesgeneratedbygenerativeadversarialnetworks，thisstudyproposedanimprovedDCGAN-baseddataaugmentationmethodforcoton leaf mitedamageimages.Basedon theoriginalmodel，ategorylabelswereintroducedtoeableargetedgenerationofimagesfordiferentdamagelevels，ectively resolvingtheissueofclassimbalance.Thetraditional directconnectionstructurewasreplacedwitharesidualstructuretoenhance the model’sabilty to leam complex mapping relationships，avoid gradient vanishing problems，and improvethequalityof generatedimages.Aditionally，theconvolutional blockatentionmodule（CBAM）wasembedded intheconvolutionallayers to strengthenthe model’s capacity to extract key featuresof cottonleafmitedamageimages，further enhancingthequality anddiversityofgenerated images.Lastly，theWasserstein distancewith gradient penaltywas employed as the loss function，avoiding the problem of mode collapse and enhancing thetraining stability ofthe model. The improved DCGAN
modeloutperformedtheoriginalmodelintemsof trainingstabilityandimagequality.Itsgeneratedimagesachievedhigherinceptionscore（，.1）rheticptiodisace（F，5.12），elieptionsane（K，6）dsuallarityindex measure（SSM，O.82）thanthosegeneratedbyotherclassicdataaugmentationmodelsWhentrainingtheDenseNet121 model with the dataset generated by the improved DCGAN model，the average clasification accuracy reached 88.02% ，which washighrthanthatofDenseNet-121modelstrainedwithdatasetsgeneratedbytraditionalaugmentationmethodsandothermodels.Thisstudy provides technical support for intelligent monitoring of agricultural pests and diseases.
Key words：cotton leaf mite；damage degree；deepconvolutional generative adversarial network （DCGAN）；image data augmentation
新疆作為中國最大的優(yōu)質(zhì)棉生產(chǎn)基地，棉花產(chǎn)量占全國總產(chǎn)量的 90% 以上，其生產(chǎn)穩(wěn)定性直接關(guān)系到國家棉花戰(zhàn)略安全與區(qū)域經(jīng)濟發(fā)展[1]。（剩余14219字）