Automated Allocation of Highly Structured Urban Areas in Homogeneous Zones From Remote Sensing Data by Savitzky-Golay Filtering and Curve Sketching

Abstract

City morphology not only reveals a spatial distribution of diverse physical parameters, but also of diverse socio-economic characteristics. Because of this, spatial structure or zoning in urban spaces is a key variable for inferring information valuable for assessment, planning and management purposes. The presented methodology shows a mathematical approach to derive homogeneous zones from a solely remote sensing land-cover classification result. By Savitzky-Golay filtering and a subsequent curve sketching approach, an interpreter-independent differentiation within a city is computed. The classification shows the result of the arrangement of urban zoning without any ancillary data.