The experimental results show that the proposed multi-scale progressive DTM construction method can effectively realize the filtering in complex terrain environments. The proposed method is less affected by terrain changes and can effectively protect terrain details in areas where the slope of the terrain changes drastically. Four backpack LiDAR point clouds in complex terrain areas are used for testing. The average total error of the filtering algorithm in this study is 7.88%, while the average Kappa coefficient is 79.48%. When compared with the three other filtering methods, namely LAStools, MCC, and CSF, the average total error of the proposed method is the lowest, while the average Kappa coefficient is the highest. Thus, it can be concluded that the proposed method can obtain better filtering performance for different terrain environments.