Results 11 to 20 of about 1,687 (183)
ISPRS International Journal of Geo-Information, 2021 Automatic procedures for landform extraction is a growing research field but extensive quantitative studies of the prediction accuracy of Automatic Landform Classification (ACL) based on a direct comparison with geomorphological maps are rather limited ...
Dario Gioia +5 more
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Frontiers in Astronomy and Space Sciences, 2023 The study of Martian surface topography is important for understanding the geological evolution of Mars and revealing the spatial differentiation of the Martian landscape.
Danyang Liu +5 more
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International Journal of Applied Earth Observations and Geoinformation, 2023 To address key issues with traditional landform classification methods that impact the integrity and continuity of the analysis area, as well as neglecting neighboring features, We presents a novel approach called superpixel-based graph convolutional ...
Honghao Fu +4 more
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Landform classification based on topographic position Index
Mongolian Journal of Geography and Geoecology, 2022 Earth surface study or Geomorphology is one of the fundamental physical geographic studies. The ultimate result of the geomorphological study is shown as a map and many geomorphological researchers have been developing their geomorphology-mapping methodology over time.
Odbaatar Ekhjargal +2 more
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Quantification of Loess Landforms from Three-Dimensional Landscape Pattern Perspective by Using DEMs
ISPRS International Journal of Geo-Information, 2021 Quantitative analysis of the differences and the exploration of the evolution models of different loess landform types are greatly important to the in-depth understanding of the evolution process and mechanism of the loess landforms.
Hong Wei +5 more
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Landform classification of New Mexico by computer [PDF]
Open-File Report, 1991 Note: The shaded relief map, Plate 2 in this report, is a degraded image from an original 24 inch by 30 inch negative. A better quality contact photographic print is available for $58 each (price subject to change without notice) by sending a check payable to C-L Custom Photo Co., c/o U.S.
Richard Dikau +2 more
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Remote Sensing, 2021 Landform recognition is one of the most significant aspects of geomorphology research, which is the essential tool for landform classification and understanding geomorphological processes.
Siwei Lin, Nan Chen, Zhuowen He
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Supervised classification of landforms in Arctic mountains [PDF]
Permafrost and Periglacial Processes, 2019 AbstractErosional and sediment fluxes from Arctic mountains are lower than for temperate mountain ranges due to the influence of permafrost on geomorphic processes. As permafrost extent declines in Arctic mountains, the spatial distribution of geomorphic processes and rates will change.
Huw Thomas Mithan +2 more
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Deep learning-based automated terrain classification using high-resolution DEM data
International Journal of Applied Earth Observations and Geoinformation, 2023 Landforms are a fundamental component of the natural environment, and digital terrain mapping on a large spatial scale is important when studying landforms. In this study, we adopted a semantic segmentation model in computer vision to classify elementary
Jiaqi Yang +5 more
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Landform Classification in Raster Geo-images [PDF]
, 2004 We present an approach to perform a landform classification of raster geo-images to obtain the semantics of DEMs. We consider the following raster layers: slope, profile curvature and plan curvature, which have been built to identify the intrinsic properties of the landscape. We use a multi-valued raster to integrate these layers. The attributes of the
Marco Moreno +3 more
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