Object representations at multiple scales from digital elevation models

被引:107
作者
Dragut, Lucian [1 ,2 ]
Eisank, Clemens [1 ]
机构
[1] Salzburg Univ, Dept Geog & Geol, A-5020 Salzburg, Austria
[2] W Univ Timisoara, Dept Geog, Timisoara 300223, Romania
基金
奥地利科学基金会;
关键词
Geomorphometry; Landform; Landform elements; Local variance; Segmentation; Pattern analysis; TERRAIN-ANALYSIS; DEM RESOLUTION; LANDFORM SEGMENTATION; FRACTAL DIMENSION; CLASSIFICATION; MULTISCALE; FUZZY; PIXEL; AREA; DEPENDENCIES;
D O I
10.1016/j.geomorph.2011.03.003
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
In the last decade landform classification and mapping has developed as one of the most active areas of geomorphometry. However, translation from continuous models of elevation and its derivatives (slope, aspect, and curvatures) to landform divisions (landforms and landform elements) is filtered by two important concepts: scale and object ontology. Although acknowledged as being important, these two issues have received surprisingly little attention. This contribution provides an overview and prospects of object representation from DEMs as a function of scale. Relationships between object delineation and classification or regionalization are explored, in the context of differences between general and specific geomorphometry. A review of scales issues in geomorphometry ranging from scale effects to scale optimization techniques-is followed by an analysis of pros and cons of using cells and objects in DEM analysis. Prospects for coupling multi-scale analysis and object delineation are then discussed. Within this context, we propose discrete geomorphometry as a possible approach between general and specific geomorphometry. Discrete geomorphometry would apply to and describe land-surface divisions defined solely by the criteria of homogeneity in respect to a given land-surface parameter or a combination of several parameters. Homogeneity, in its turn, should always be relative to scale.(C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:183 / 189
页数:7
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