Computation of spatial significance of mountain objects extracted from multiscale digital elevation models

7th IGRSM International Remote Sensing & GIS Conference and Exhibition

地球科学;计算机科学

Sathyamoorthy, Dinesh^1

Science and Technology Research Institute for Defence (STRIDE), Ministry of Defence, Malaysia^1

关键词: Digital elevation model;    Geo-spatial analysis;    Morphological dilation;    Multi-scale;    Spatial distance;    Strategic locations;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/20/1/012044/pdf
DOI  :  10.1088/1755-1315/20/1/012044

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

The derivation of spatial significance is an important aspect of geospatial analysis and hence, various methods have been proposed to compute the spatial significance of entities based on spatial distances with other entities within the cluster. This paper is aimed at studying the spatial significance of mountain objects extracted from multiscale digital elevation models (DEMs). At each scale, the value of spatial significance index SSI of a mountain object is the minimum number of morphological dilation iterations required to occupy all the other mountain objects in the terrain. The mountain object with the lowest value of SSI is the spatially most significant mountain object, indicating that it has the shortest distance to the other mountain objects. It is observed that as the area of the mountain objects reduce with increasing scale, the distances between the mountain objects increase, resulting in increasing values of SSI. The results obtained indicate that the strategic location of a mountain object at the centre of the terrain is more important than its size in determining its reach to other mountain objects and thus, its spatial significance.