Abstract: It is one of the main goals in mankind's universe exploration to find unknown and particular celestial bodies. Outliers recognition is an effective way of finding the spectrum data of unknown and particular celestial bodies in mass celestial body spectrum data. A recognition method of celestial spectra outliers based on concept lattice is proposed by regarding the intension of the concept lattice nodes as characteristic subspace of the celestial spectra. First, the intension reduction of the concept lattice nodes is regarded as the characteristic subspace of celestial spectra, and the sparsity subspace is defined according to the sparsity coefficient threshold. Second, whether the intension of the ancestor nodes for sparsity subspaces is a dense subspace, is decided by the dense coefficient threshold, and accordingly the extent of the node is defined as the celestial spectra outliers if the subspaces are dense. Finally, the experiment results validate the method by taking the celestial spectra as the formal context.