A Generalized Complex-Valued Constrained Energy Minimization Scheme for the Arctic Sea Ice Extraction Aided With Neural Algorithm
文献类型：期刊论文
| 作者 | Fu, Dongyang1; Huang, Haoen1; Xiao, Xiuchun1; Xia, Linghui3; Jin, Long2 |
| 刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
 |
| 出版日期 | 2022 |
| 卷号 | 60页码:17 |
| 关键词 | Sea ice Arctic Minimization Data mining Remote sensing Scattering Robustness Arctic sea ice extraction generalized complex-valued constrained energy minimization (GCVCEM) scheme modified Newton integration (MNI) neural algorithm noise-tolerance ability |
| ISSN号 | 0196-2892 |
| DOI | 10.1109/TGRS.2021.3130647 |
| 通讯作者 | Jin, Long(jinlongsysu@foxmail.com) |
| 英文摘要 | Due to the significant role of sea ice in the Arctic-related research, developing high-precision and robust Arctic sea ice extraction techniques for multi-source remote-sensing images encounters a great challenge. In the light of the constrained energy minimization scheme, this article provides a generalized complex-valued constrained energy minimization (GCVCEM) scheme for the Arctic sea ice extraction with strong robustness and accessible implementation. Given the fact that the image extraction process is easily disturbed by noise in real-life application scenarios, a modified Newton integration (MNI) neural algorithm with the noise-tolerance ability and high extraction accuracy is proposed to aid the GCVCEM scheme. Its key idea is to add an error integration feedback term on the basis of the Newton-Raphson iterative (NRI) algorithm to resist noise perturbation on the solution process of the GCVCEM scheme for high-precision and robust extraction of the Arctic sea ice. Besides, the corresponding convergence analyses and robustness proofs on the proposed MNI neural algorithm are furnished. To evaluate the extraction performance of the proposed MNI neural algorithm, multiple comparative experiments with different sea ice observation images and different noise workspaces are performed. Both the visualized and quantitative experimental results substantiate the superiorities of the proposed MNI neural algorithm aided the GCVCEM scheme for the Arctic sea ice extraction. |
| 资助项目 | Key Projects of the Guangdong Education Department[2019KZDXM019] ; Chinese Academy of Sciences Light of West China Program ; Natural Science Foundation of Chongqing, China[cstc2020jcyj-zdxmX0028] ; Southern Marine Science and Engineering Guangdong Laboratory (Zhanjiang)[ZJW-2019-08] ; High-Level Marine Discipline Team Project of Guangdong Ocean University[00202600-2009] ; Guangdong Graduate Academic Forum Project[230420003] ; Postgraduate Education Innovation Project of Guangdong Ocean University[202159] ; Guangdong Graduate Education Innovation Project, Graduate Academic Forum[2020XSLT27] ; Key Laboratory of Digital Signal and Image Processing of Guangdong Province[2019GDDSIPL-01] ; Guangdong Basic and Applied Basic Research Foundation[2021A1515011847] ; Guangdong Ocean University[231419026] |
| WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000761235300005 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://119.78.100.138/handle/2HOD01W0/15403]  |
| 专题 | 中国科学院重庆绿色智能技术研究院 |
| 通讯作者 | Jin, Long |
| 作者单位 | 1.Guangdong Ocean Univ, Sch Elect & Informat Engn, Zhanjiang 524025, Peoples R China 2.Chinese Acad Sci, Chongqing Key Lab Big Data & Intelligent Comp, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China 3.China Univ Petr East China, Coll Oceanog & Space Informat, Qingdao 266580, Peoples R China |
| 推荐引用方式 GB/T 7714 | Fu, Dongyang,Huang, Haoen,Xiao, Xiuchun,et al. A Generalized Complex-Valued Constrained Energy Minimization Scheme for the Arctic Sea Ice Extraction Aided With Neural Algorithm[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2022,60:17. |
| APA | Fu, Dongyang,Huang, Haoen,Xiao, Xiuchun,Xia, Linghui,&Jin, Long.(2022).A Generalized Complex-Valued Constrained Energy Minimization Scheme for the Arctic Sea Ice Extraction Aided With Neural Algorithm.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,60,17. |
| MLA | Fu, Dongyang,et al."A Generalized Complex-Valued Constrained Energy Minimization Scheme for the Arctic Sea Ice Extraction Aided With Neural Algorithm".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 60(2022):17. |
入库方式： OAI收割
来源：重庆绿色智能技术研究院
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