Range-resolving laser reflective tomography imaging is a new type of laser imaging system which takes both long-range and high-resolution imaging characteristics into account. When the pulse width of laser emission is larger than the sampling period, the received echo is regarded as the convolution of reflectance distribution and emission pulses. Imaging resolution can be reduced when the target reflectance distribution profile is reconstructed. Non-blind deconvolution of one-dimensional detected echo signal is carried out with variational Bayesian method. Pulse compression of the detected echo signal is done, and the issue of image degradation caused by the convolution effect is solved effectively. The laser reflective tomography experiment is designed and the measured data are processed. Reconstructed images show that the proposed method can effectively improve image resolution of the system.