Li, C., Huang, J., Li, Z. and Wang, R., 2016. Plane-wave least-square reverse time migration with encoding strategies. Journal of Seismic Exploration, 25: 177-197. Plane-wave Least-Squares Reverse Time Migration (PLSRTM) delivers high resolution images with less computational cost compared with conventional Least-Squares Reverse Time Migration (LSRTM). But a great number of computational cost is still necessary to suppress migration artefacts. The study of plane-wave encoding strategy with better migration artefacts reduction may help to further improve the computational efficiency. In this paper, we present the theory and work flow of PLSRTM method; furthermore four different encoding strategies are applied to PLSRTM including static encoding, dynamic encoding, hybrid encoding and random dynamic encoding. Additionally, the illumination preconditioner and the mixed optimization method are introduced to accelerate the convergence rate. The numerical tests are implemented both on the synthetic data of Marmousi model and the 2D field data to compare the image quality and the computational cost of different encoding strategies. The results suggest that the static encoding method has a best imaging quality but highest computational cost while the improved encoding strategies have better computational efficiency which is suitable for the processing of mass data. Among them, PLSRTM with hybrid encoding has the advantage of less I/O cost and PLSRTM with random dynamic encoding shows better imaging quality and convergence with less iteration.