Knowledge-Based Raster-Vector Conversion of Topographic Maps

Automatic raster-vector conversion of topographic maps

A Knowledge-Based Approach to Raster-Vector Conversion of Large Scale Topographic Maps

Paper-based raster maps are primarily for human consumption, and their interpretation always requires some level of human expertese. Todays computer services in geoinformatics usually require vectorized topographic maps. The usual method of the conversion has been an error-prone, manual process. In this article, the possibilities, methods and difficulties of the conversion are discussed. The re...

Contour Lines Recognition from Raster Topographic Maps

Map digitization is still an ongoing research in development of GIS, photogrammetry, remote sensing, military, urban planning and etc. Majority of recent approach, either associates with human interaction or semi-automated process are insufficient in various aspects. There are usually time-consuming, inefficient, and shown inaccuracies in digitized data. This research is intended to develop an ...

A Raster-to-Vector Conversion Concept Based on Industrial Requirements

A raster-to-vector (r-t-v) conversion system that is to be of general interest to the industry must meet certain requirements. With IGES as the starting point, covering the CAD area, I discuss a number of such needs. A strategy for the design of a r-t-v system that matches the requirements listed is then proposed. I find it necessary to leave the pure skeleton based approach, but use skeletonal...

Extracting Road Vector Data from Raster Maps

Raster maps are an important source of road information. Because of the overlapping map features (e.g., roads and text labels) and the varying image quality, extracting road vector data from raster maps usually requires significant user input to achieve accurate results. In this paper, we present an accurate road vectorization technique that minimizes user input by combining our previous work o...