Please use this identifier to cite or link to this item:
https://hdl.handle.net/11681/5057| Title: | Radar bridge patterns extraction and recognition |
| Authors: | Chen, Pi-Fuay. Fox, Neil D. |
| Keywords: | Hough transform Image edge ehancement Radar feature extraction and recognition |
| Publisher: | U.S. Army Engineer Topographic Laboratories. Engineer Research and Development Center (U.S.) |
| Series/Report no.: | ETL ; 0323. |
| Description: | Research note Abstract: A technique is described for detecting and recognizing various bridge patterns with different orientation angles from a set of radar imagery. The algorithm combines Hough transform, Sobel edge operator, image thresholding methods, and decision logics and was implemented as a software for an experimental hardware system consisting of a 32-element by 32-element solid-state array, a minicomputer, and a computer-controlled translational stage. The resolution of bridge orientation angle detection was determined to be approximately 22.S degrees for the current system setup. This resolution can be improved by enlarging the input measurement array size. |
| Rights: | Approved for public release; distribution is unlimited. |
| URI: | http://hdl.handle.net/11681/5057 |
| Appears in Collections: | Research Note |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ETL-0323.pdf | 1.85 MB | Adobe PDF |  View/Open |