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

City morphology not only reveals 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