基于分形编码的M型恒星光谱次型自动识别

Automatic Recognition of M-Star Spectral Subtype Based on Fractal Coding

根据天体光谱自身的局部分形特征,对光谱中400～510,600～700和780～900nm三个波段的数据分形编码,并以编码中匹配数据块位置与最小匹配误差为特征,将分形方法应用于天体光谱次型识别。实验表明,分形方法不受LAMOST流量定标误差、仪器效率曲线的影响,具有一定的抗噪性,可以有效地自动识别LAMOST与SDSS的M型恒星光谱次型。

According to the local fractal feature in an astronomical spectrum,the data in the spectrum were coded in three bands 400～510,600～700and 780～900nm.In the present paper,using the position of the matching data block and the minimum matching error,the fractal coding method was used to recognize the subtypes of astronomical spectra for the first time.The experimental results show that the fractal coding method has certain noise immunity and cannot be affected by the calibration error and the effective curves of LAMOST.The fractal method can effectively recognize the subtype of M stars of LAMOST and SDSS.