Knowledge Commons of Institute of Automation,CAS
A Nonlocal TV-Based Variational Method for PolSAR Data Speckle Reduction | |
Nie, Xiangli1; Qiao, Hong1,2; Zhang, Bo3; Huang, Xiayuan1 | |
发表期刊 | IEEE TRANSACTIONS ON IMAGE PROCESSING |
2016-06-01 | |
卷号 | 25期号:6页码:2620-2634 |
文章类型 | Article |
摘要 | In this paper, we propose a nonlocal total variation (NLTV)-based variational model for polarimetric synthetic aperture radar (PolSAR) data speckle reduction. This model, named WisNLTV, is obtained based on the Wishart fidelity term and the NLTV regularization defined for the complex-valued fourth-order tensor data. Since the proposed model is non-convex, an equivalent bi-convex model is obtained using the property of conjugate functions. Then, an efficient iteration algorithm is developed to solve the equivalent bi-convex model, based on the alternating minimization and the forward-backward operator splitting technique. The proposed iteration algorithm is proved to be convergent under certain conditions theoretically and numerically. Experimental results on both synthetic and real PolSAR data demonstrate that the proposed method can effectively reduce speckle noise and, meanwhile, better preserve the details and the repetitive structures such as textures and edges, and the polarimetric scattering characteristics, compared with the other methods. |
关键词 | Polarimetric Synthetic Aperture Radar (Polsar) Speckle Reduction Nonlocal Total Variation (Nltv) Complex Wishart Distribution Conjugate Function Variational Model |
WOS标题词 | Science & Technology ; Technology |
DOI | 10.1109/TIP.2016.2552402 |
关键词[WOS] | POLARIMETRIC SAR DATA ; LOJASIEWICZ INEQUALITY ; MULTIPLICATIVE NOISE ; WISHART DISTRIBUTION ; MODEL ; ALGORITHMS ; CLASSIFICATION ; DECOMPOSITION ; FRAMEWORK ; IMAGERY |
收录类别 | SCI |
语种 | 英语 |
项目资助者 | National Natural Science Foundation of China(61379093 ; Strategic Priority Research Program, Chinese Academy of Sciences(XDB02080003) ; BMST(D16110400140000 ; Early Career Development Award of SKLMCCS ; 11131006) ; D161100001416001) |
WOS研究方向 | Computer Science ; Engineering |
WOS类目 | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
WOS记录号 | WOS:000375121600001 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/12207 |
专题 | 多模态人工智能系统全国重点实验室_机器人理论与应用 复杂系统管理与控制国家重点实验室 |
通讯作者 | Zhang, Bo |
作者单位 | 1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Shanghai 200031, Peoples R China 3.Chinese Acad Sci, Inst Appl Math, Acad Math & Syst Sci, State Key Lab Sci & Engn Comp, Beijing 100190, Peoples R China |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Nie, Xiangli,Qiao, Hong,Zhang, Bo,et al. A Nonlocal TV-Based Variational Method for PolSAR Data Speckle Reduction[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2016,25(6):2620-2634. |
APA | Nie, Xiangli,Qiao, Hong,Zhang, Bo,&Huang, Xiayuan.(2016).A Nonlocal TV-Based Variational Method for PolSAR Data Speckle Reduction.IEEE TRANSACTIONS ON IMAGE PROCESSING,25(6),2620-2634. |
MLA | Nie, Xiangli,et al."A Nonlocal TV-Based Variational Method for PolSAR Data Speckle Reduction".IEEE TRANSACTIONS ON IMAGE PROCESSING 25.6(2016):2620-2634. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
TIP2016.pdf(5355KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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