The letter introduces DARecNet-BS, an unsupervised dual attention reconstruction network for hyperspectral band selection. DARecNet-BS combines the position and spectral attention mechanisms to capture long range contextual information in both spectral and spatial directions. Our network improves the feature representation ability for informative band selection with less computational overhead. Experiments on three wellknown datasets demonstrate the superior performance using small training sets with less number of spectral bands.