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.
['Jianjun Xie', 'Junhong Li', 'Hong Wang', 'Wenyi Zeng', 'Ping Guo']
The Methods for Two-Dimensional Fiber Spectra Extraction