A Self-interpolation Method for Digital Terrain Model Generation

This work presents an iterative method for obtaining a digital terrain model (DTM) from a digital surface model (DSM) given as input. The novel approach is compared to a state-of-the-art method from the literature using three case studies that represent diverse situations and landscapes including a coastal region composed of dunes, a mountain region, and also an urban area. The proposed method was revealed to be a promising alternative in terms of a better root-mean-square error. Input surface artifacts are successfully removed with the adoption of the proposed method.