New high-fidelity terrain modeling method constrained by terrain semanteme.

ABSTRACT: Production of higher-fidelity digital elevation models is important; as such models are indispensable components of space data infrastructure. However, loss of terrain features is a constant problem for grid digital elevation models, although these models have already been defined in such a way that their distinct usage as data sources in terrain modeling processing is prohibited. Therefore, in this study, the novel concept-terrain semanteme is proposed to define local space terrain features, and a new process for generating grid digital elevation models based on this new concept is designed. A prototype system is programmed to test the proposed approach; the results indicate that terrain semanteme can be applied in the process of grid digital elevation model generation, and that usage of

SUBMITTER: Zhou B 

PROVIDER: S-EPMC5991641 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature