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Title: Effective identification of terrain positions from gridded DEM data using multimodal classification integration
Authors: Jiang, Ling
Ling, Dequan
Zhao, Mingwei
Wang, Chun
Liang, Qiuhua
Liu, Kai
Keywords: Terrain position
Multimodal classification
Digital terrain analysis
Issue Date: 2018
Publisher: MDPI © The authors
Citation: JIANG, L. ... et al, 2018. Effective identification of terrain positions from gridded DEM data using multimodal classification integration. ISPRS International Journal of Geo-Information, 7 (11), 443.
Abstract: Terrain positions are widely used to describe the Earth’s topographic features and play an important role in the studies of landform evolution, soil erosion and hydrological modeling. This work develops a new multimodal classification system with enhanced classification performance by integrating different approaches for terrain position identification. The adopted classification approaches include local terrain attribute (LA)-based and regional terrain attribute (RA)-based, rule-based and supervised, and pixel-based and object-oriented methods. Firstly, a double-level definition scheme is presented for terrain positions. Then, utilizing a hierarchical framework, a multimodal approach is developed by integrating different classification techniques. Finally, an assessment method is established to evaluate the new classification system from different aspects. The experimental results, obtained at a Loess Plateau region in northern China on a 5 m digital elevation model (DEM), show reasonably positional relationship, and larger inter-class and smaller intra-class variances. This indicates that identified terrain positions are consistent with the actual topography from both overall and local perspectives, and have relatively good integrity and rationality. This study demonstrates that the current multimodal classification system, developed by taking advantage of various classification methods, can reflect the geographic meanings and topographic features of terrain positions from different levels.
Description: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Version: Published
DOI: 10.3390/ijgi7110443
URI: https://dspace.lboro.ac.uk/2134/36554
Publisher Link: https://doi.org/10.3390/ijgi7110443
Appears in Collections:Published Articles (Architecture, Building and Civil Engineering)

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