Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/5052
Title: Detecting line-road and road-intersection patterns at various angles
Authors: Singleton, J. Robert.
Chen, Pi-Fuay.
Keywords: Cartographic Feature Extraction amt Recognitiorr
Solid State Sensor Array System, Walsh Transforms
Minimum Distance Classifier
Publisher: U.S. Army Engineer Topographic Laboratories.
Engineer Research and Development Center (U.S.)
Series/Report no.: ETL ; 0274.
Description: Research note
Abstract: An extended Walsh transform technique or detecting an recognizing a set of cartographic features, such as linear roads and road intersections, at a variety of angles with the axes of the inspecting window is described. The method was implemented as software for an existing sensor array minicomputer system, which consists of a solid state array to convert optical images into electronic signals, a minicomputer as signal processor, and a computer-controlled translational stage as the imagery holder. Each angular orientation of the cartographic features is defined as a class of pattern and classified by using two minimum distance classifiers together with some pretesting algorithms. Typical experimental results are presented and conclusions are given.
Rights: Approved for public release; distribution is unlimited.
URI: http://hdl.handle.net/11681/5052
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