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

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...

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Main Authors: Bo Zhou, Junbo Xu, Xuedong Zhang, Xuejun Liu
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5991641?pdf=render
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author Bo Zhou
Junbo Xu
Xuedong Zhang
Xuejun Liu
author_facet Bo Zhou
Junbo Xu
Xuedong Zhang
Xuejun Liu
author_sort Bo Zhou
collection DOAJ
description 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 this new concept improves the digital elevation model fidelity. Moreover, the terrain semanteme technique can be applied for recovery of distorted digital elevation model regions containing terrain semantemes, with good recovery efficiency indicated by experiments.
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spelling doaj.art-0469f33adbe94fb9b605c37640797d3f2022-12-22T00:24:23ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-01136e019853010.1371/journal.pone.0198530New high-fidelity terrain modeling method constrained by terrain semanteme.Bo ZhouJunbo XuXuedong ZhangXuejun LiuProduction 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 this new concept improves the digital elevation model fidelity. Moreover, the terrain semanteme technique can be applied for recovery of distorted digital elevation model regions containing terrain semantemes, with good recovery efficiency indicated by experiments.http://europepmc.org/articles/PMC5991641?pdf=render
spellingShingle Bo Zhou
Junbo Xu
Xuedong Zhang
Xuejun Liu
New high-fidelity terrain modeling method constrained by terrain semanteme.
PLoS ONE
title New high-fidelity terrain modeling method constrained by terrain semanteme.
title_full New high-fidelity terrain modeling method constrained by terrain semanteme.
title_fullStr New high-fidelity terrain modeling method constrained by terrain semanteme.
title_full_unstemmed New high-fidelity terrain modeling method constrained by terrain semanteme.
title_short New high-fidelity terrain modeling method constrained by terrain semanteme.
title_sort new high fidelity terrain modeling method constrained by terrain semanteme
url http://europepmc.org/articles/PMC5991641?pdf=render
work_keys_str_mv AT bozhou newhighfidelityterrainmodelingmethodconstrainedbyterrainsemanteme
AT junboxu newhighfidelityterrainmodelingmethodconstrainedbyterrainsemanteme
AT xuedongzhang newhighfidelityterrainmodelingmethodconstrainedbyterrainsemanteme
AT xuejunliu newhighfidelityterrainmodelingmethodconstrainedbyterrainsemanteme