Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/5040
Title: Classification of cartographic features through Walsh transforms
Authors: Chen, Pi-Fuay.
Rohde, Frederick W.
Seemuller, William W.
Keywords: Cartographic feature extraction and recognition
Orthogonal functions
Solid-state sensor arrays
Walsh transforms
Publisher: U.S. Army Engineer Topographic Laboratories.
Engineer Research and Development Center (U.S.)
Series/Report no.: ETL ; 0290.
Description: Research note
Abstract: An Algorithm was used to classify and recognize a set of selected cartographic features, such as road intersections, straight-line roads, and rectangular objects, which were decomposed in the Walsh transform domain. The method was implemented digitally with an experimental system consisting of a solid state sensor array, a minicomputer as signal processor, and a computer-controlled translational stage as the image holder. Recognition examples for the set of cartographic features with respect to the window of inspection are presented. Nearly 90 percent recognition accuracy was obtained for the selected set of the cartographic features.
Rights: Approved for public release; distribution is unlimited.
URI: http://hdl.handle.net/11681/5040
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