Automatic Extraction of Drainage Network from Digital Terrain Elevation Data(DTED)

摘要

This report describes an approach to the automatic extraction of a drainagenetwork from Digital Terrain Elevation Data (DTED). An extracted network may be used in many applications, such as determining drainage network metrics or selecting control points for image registration and mapping applications. Neural networks have been shown to possess generalization properties that make them well suited to this problem, which calls for a generalized solution. In this research, a biologically inspired network has been designed and applied to automatic extraction of drainage networks.