An Inductive Knowledge-based Approach to Terrain Feature Extraction
Authors: Bennett, David A.; Armstrong, Marc P.
Source: Cartography and Geographic Information Science, Volume 23, Number 1, January 1996 , pp. 3-19(17)
Abstract:Accurate digital representations of basin morphology are needed to support hydrologic flow and sediment transport models. The derivation of such representations from United States Geodetic Survey (USGS) digital elevation models (DEMs) has been an active area of research. The error inherent in USGS DEM data sets can limit their utility for watershed modeling, however. This article describes a new approach for extracting basin morphology from a DEM. The new approach uses inductive procedures and domain-specific knowledge to identify and correct errors. A bit-mapped classification scheme is used to place each point in a DEM into one of six hydrologic categories based on the topographic form of its local and extended neighborhood. Points with similar topographic form are aggregated into networks that represent stream channels and basin divides. These networks are extracted from the DEM and stored in vector-based data structures. Iterative examination of the collected information generates an increasingly accurate representation of basin morphology.
Document Type: Research Article
Publication date: 1996-01-01
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