Measurement, Characterization And Classification For Automated Line Feature Generalization

Abstract

This paper proposes to describe geometrical characteristics of linear features by segmenting lines and qualifying sections detected according to different criteria at several levels ("hierarchical" process). Such a kind of line representation should provide basic and complementary information in order to guide global and local decisions. The ultimate aim is to choose and sequence adequate generalization tools and parameter values. KEYWORDS: Automated linear feature generalization, segmentation, characteristic point detection, measurement, clustering INTRODUCTION Generalization is often described as an holistic process, due to the large number of constraints and interactions that must be taken into account. This paper addresses issues related to linear feature intrinsic generalization. At first, the main issue for such a generalization is that every linear feature seems to be a particular case (at least for a significant level of generalization). This may come out from the fact that a ..