To reduce the huge resource consumption in the hyperspectral imaging and transmission,this paper proposes a high performance compression method.Specially,a novel 3D total variation prior is imposed on abundance fractions of end-members.In this method,compressed data is obtained by a random observation matrix in a compressive sensing way.Based on the hyperspectral linear mixed model and known end members,abundance fractions are estimated by an augmented Lagrangian method with the devised prior and then the original data is reconstructed.