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Noise reduction and analysis for Chang'E-1 Imaging Interferometer (IIM) data
Zhu, Feng; Liu, Jiahang; Chen, Tieqiao
2017
Conference Name5th International Conference on Progress in Informatics and Computing, PIC 2017
Source PublicationProceedings of 2017 International Conference on Progress in Informatics and Computing, PIC 2017
Pages148-153
Conference Date2017-12-15
Conference PlaceNanjing, China
PublisherInstitute of Electrical and Electronics Engineers Inc.
Contribution Rank1
Abstract

Imaging Interferometer (IIM) aboard Chang'E-1 is a Fourier transform imaging spectrometer, with goals to analyze the abundance and distribution of chemical elements on the lunar surface. IIM data suffer from various degradations, which will lead to misleading interpretations of IIM data and inaccuracy of subsequent applications. In this paper, we introduced a noise reduction method based on low-rank matrix decomposition theory. The restoration results are expected to have a better performance in image quality and spectral signatures according to visual and quantitative assessments. Meanwhile, we analyze the characteristic of the noise separated from IIM data using top spectral view of noise cube. The preliminary analysis of the noise characteristics contribute to optimize the data preprocessing of IIM data such as spectrum reconstruction and radiometric correction. © 2017 IEEE.

Department遥感与智能信息系统研究中心
DOI10.1109/PIC.2017.8359532
Indexed ByEI
ISBN9781538619773
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/30349
Collection遥感与智能信息系统研究中心
AffiliationLaboratory of Remote Sensing and Intelligent Information System, Xi'An Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China
Recommended Citation
GB/T 7714
Zhu, Feng,Liu, Jiahang,Chen, Tieqiao. Noise reduction and analysis for Chang'E-1 Imaging Interferometer (IIM) data[C]:Institute of Electrical and Electronics Engineers Inc.,2017:148-153.
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