In order to quickly expose vegetation camouflage and transform the hyperspectral research problem into the multi-spectral application problem, the hyperspectral band was selected based on the Relief-F algorithm was selected for the study of vegetation camouflage. First, the common plant spruce was used to simulate vegetation camouflage targets, and the HH2 ground-object spectrometer was used to collect experimental data. Then, the author introduced the Relief-F algorithm to screen the subset of feature bands, and conducted classification experiments with the subset of band obtained by other two common algorithms.The results show that the classification accuracy of using the Relief-F algorithm to choose the feature band subset is up to 96.4%, which is higher than the other two algorithms. This research is helpful for exposing the camouflage problem of vegetation.