Abstract

In creating digital maps from paper maps, the paper map must first be scanned to produce a raster image, and then converted into vector format. Vector format allows non-graphical cartographic information to be stored along with the graphical objects. At the United States Geological Survey, the conversion from raster to vector format is performed by a commercial software package. The package also attempts to classify the graphical objects based on shape, line patterns, and other information gained from the raster file. Since the package frequently fails to classify a significant percentage of the elements in the map, manual map analysis and classification, a slow and costly process, is necessary.

The current project implements template matching in an effort to reduce the amount of manual analysis necessary for hydrography files (files containing all water data from a map). Lines appearing in a hydrography file are either solid (shoreline or perennial streams) or made up of the repeated pattern of a dash and three dots (intermittent streams). The Wise Intermittent Stream Recognition and Detection (WISRD) system has been created to identify lines having the intermittent stream pattern, thereby decreasing the amount of manual editing necessary for hydrography files.

The choice of template matching as a pattern recognition technique has proven to be quite beneficial in the classification process. The WISRD system succeeded in significantly reducing the number of unclassified lines upon its completion.

Department(s)

Computer Science

Comments

This report is substantially the M.S. thesis of the first author, completed May 1993,

Report Number

CSC-93-07

Document Type

Technical Report

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 1993 University of Missouri--Rolla, All rights reserved.

Publication Date

01 May 1993

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