| HAN Chengde(韩成德)* **,CUI Yingzi** ***,HUANG Ying****,GUO Mingqiang* ** *****,LIU Zheng**,WU Liang**.[J].高技术通讯(英文),2022,28(2):190~196 |
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| SAR image despeckling via Lp norm regularization |
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| DOI：10.3772/j.issn.1006-6748.2022.02.009 |
| 中文关键词: |
| 英文关键词: synthetic aperture radar (SAR) image, speckle, nonconvex nonsmooth regularization, variational method, alternating direction method of multiplier (ADMM) |
| 基金项目: |
| Author Name | Affiliation | | HAN Chengde(韩成德)* ** | (*Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518034, P.R.China)
(**School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, P.R.China)
(***Hubei Geomatics Technology Group Stock Co., Ltd., 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) | | CUI Yingzi** *** | (*Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518034, P.R.China)
(**School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, P.R.China)
(***Hubei Geomatics Technology Group Stock Co., Ltd., 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) | | HUANG Ying**** | (*Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518034, P.R.China)
(**School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, P.R.China)
(***Hubei Geomatics Technology Group Stock Co., Ltd., 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) | | GUO Mingqiang* ** ***** | (*Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518034, P.R.China)
(**School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, P.R.China)
(***Hubei Geomatics Technology Group Stock Co., Ltd., 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) | | LIU Zheng** | (*Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518034, P.R.China)
(**School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, P.R.China)
(***Hubei Geomatics Technology Group Stock Co., Ltd., 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) | | WU Liang** | (*Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518034, P.R.China)
(**School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, P.R.China)
(***Hubei Geomatics Technology Group Stock Co., Ltd., 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) |
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| 中文摘要: |
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| 英文摘要: |
| 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 fidelity 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. |
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