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典型文献
SAR image despeckling via Lp norm regularization
文献摘要:
Synthetic aperture radar(SAR)image despeckling has been an attractive problem in remote sensing.The main challenge is to suppress speckle while preserving edges and preventing unnatural artifacts(such as annoying artifacts in homogeneous regions and over-smoothed edges).To address these problems,this paper proposes a new variational model with a nonconvex nonsmooth Lp(0<p<1)norm regularization.It incorporates Lp(0<p<1)norm regularization and I-divergence fideli-ty term.Due to the nonconvex nonsmooth property,the regularization can better recover neat edges and homogeneous regions.The I-divergence fidelity term is used to suppress the multiplicative noise effectively.Moreover,based on variable-splitting and alternating direction method of multipliers(ADMM)method,an efficient algorithm is proposed for solving this model.Intensive experimental results demonstrate that nonconvex nonsmooth model is superior to other state-of-the-art approaches qualitatively and quantitatively.
文献关键词:
作者姓名:
HAN Chengde;CUI Yingzi;HUANG Ying;GUO Mingqiang;LIU Zheng;WU Liang
作者机构:
Key Laboratory of Urban Land Resources Monitoring and Simulation,Ministry of Natural Resources,Shenzhen 518034,P.R.China;Hubei Geomatics Technology Group Stock Co.,Ltd.,Wuhan 430074,P.R.China;School of Geography and Information Engineering,China University of Geosciences,Wuhan 430074,P.R.China;Wuhan Zondy Advanced Technology Institute Co.,Ltd.,Wuhan 430074,P.R.China;National Engineering Research Center of Geographic Information System,Wuhan 430074,P.R.China
引用格式:
[1]HAN Chengde;CUI Yingzi;HUANG Ying;GUO Mingqiang;LIU Zheng;WU Liang-.SAR image despeckling via Lp norm regularization)[J].高技术通讯(英文版),2022(02):190-196
A类:
despeckling,annoying,fideli
B类:
SAR,image,via,Lp,norm,regularization,Synthetic,aperture,radar,has,been,attractive,remote,sensing,main,challenge,suppress,speckle,while,preserving,edges,preventing,unnatural,artifacts,such,homogeneous,regions,smoothed,To,address,these,problems,this,paper,proposes,new,variational,model,nonconvex,nonsmooth,It,incorporates,divergence,term,Due,property,can,better,recover,neat,fidelity,used,multiplicative,noise,effectively,Moreover,variable,splitting,alternating,direction,method,multipliers,ADMM,efficient,algorithm,proposed,solving,Intensive,experimental,results,demonstrate,that,superior,other,state,approaches,qualitatively,quantitatively
AB值:
0.58407
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