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  2. 地质与地球物理研究所
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  4. 中国科学院地球与行星物理重点实验室
NanoSIMS image enhancement by reducing random noise using low-rank method

文献类型：期刊论文

作者Lin, Yi1,2,3; Hao, Jialong1,2; Miao, Zhongzheng1,2,3; Zhang, Jinhai1,2; Yang, Wei1,2
刊名SURFACE AND INTERFACE ANALYSIS
出版日期2020-01-12
页码9
关键词denoising low rank NanoSIMS random noise weighted nuclear norm minimization
ISSN号0142-2421
DOI10.1002/sia.6736
英文摘要NanoSIMS images are usually affected by random noises because of various types of sources, which degrade the quality of ion images and increase the uncertainty of the geochemical interpretations. Here, we applied the weighted nuclear norm minimization (WNNM) method to reduce the random noise in the NanoSIMS image. The low-rank property of the image is fully considered to suppress random noise while retaining reliable details of weak signals. Numerical experiments on four different kinds of NanoSIMS ion images show that the denoising ability of the WNNM method is superior to that of the median filter, no matter the size of the filtering windows used (eg, 3 x 3, 5 x 5, and 7 x 7). The WNNM method can reduce random noise while preserving the most critical details in the original NanoSIMS observations, which can significantly enhance reliability when distinguishing critical boundaries and structures.
WOS关键词TRACE-ELEMENTS ; DISTRIBUTIONS
资助项目National Major Project of China[2017ZX05008-007] ; National Key Research and Development Program of China[2018YFA 0702601]
WOS研究方向Chemistry
语种英语
WOS记录号WOS:000507119500001
出版者WILEY
资助机构National Major Project of China ; National Major Project of China ; National Major Project of China ; National Major Project of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Major Project of China ; National Major Project of China ; National Major Project of China ; National Major Project of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Major Project of China ; National Major Project of China ; National Major Project of China ; National Major Project of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Major Project of China ; National Major Project of China ; National Major Project of China ; National Major Project of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China
源URL[http://ir.iggcas.ac.cn/handle/132A11/95921]  
专题地质与地球物理研究所_中国科学院地球与行星物理重点实验室
通讯作者Zhang, Jinhai; Yang, Wei
作者单位1.Chinese Acad Sci, Innovat Acad Earth Sci, Beijing, Peoples R China
2.Chinese Acad Sci, Key Lab Earth & Planetary Phys, Inst Geol & Geophys, Beijing 100029, Peoples R China
3.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Lin, Yi,Hao, Jialong,Miao, Zhongzheng,et al. NanoSIMS image enhancement by reducing random noise using low-rank method[J]. SURFACE AND INTERFACE ANALYSIS,2020:9.
APA Lin, Yi,Hao, Jialong,Miao, Zhongzheng,Zhang, Jinhai,&Yang, Wei.(2020).NanoSIMS image enhancement by reducing random noise using low-rank method.SURFACE AND INTERFACE ANALYSIS,9.
MLA Lin, Yi,et al."NanoSIMS image enhancement by reducing random noise using low-rank method".SURFACE AND INTERFACE ANALYSIS (2020):9.

入库方式： OAI收割

来源：地质与地球物理研究所

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