Paper Info
Title
The Methods For Two-Dimensional Fiber Spectra Extraction
Abstract
Astronomy is an observation-based discipline which can obtain the important information about target stars by their spectrum. The two-dimensional fiber spectra contains abundant astrophysical information which plays an important role in the digital sky survey. But, the source observed data must be processed by several procedures before being used by astronomers, and spectra extraction is one of the important procedures. Meanwhile, it is well known that all images contain inherent uncertainty information, and fuzzy set theory is a powerful tool to describe and process such uncertainty, fuzzy regression is one of the important research topics which is used to set up the functional relationship between fuzzy variables. In this paper, we firstly review the existing spectra extraction methods, then discuss the fuzzy methods about spectra extraction, so can provide new ideas, new methods and new theoretical foundations for the processing methods about two-dimensional fiber spectra extraction.
Year
DOI
Venue
2016
10.1109/CIS.2016.117
PROCEEDINGS OF 2016 12TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS)
Keywords
Field
DocType
Fiber spectra image, Spectra extraction, Fuzzy sets, Fuzzy regression, Parallel computing
Data mining,Optical fiber,Stars,Computer science,Fuzzy logic,Image segmentation,Spectral line,Fuzzy set,Sky,Adaptive optics
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Jianjun Xie110.72
Junhong Li2152.66
Hong Wang302.03
Wenyi Zeng442425.71
Ping Guo560185.05