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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 |
| Appears in Collections: | Research Note |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ETL-0274.pdf | 1.65 MB | Adobe PDF |  View/Open |