Please use this identifier to cite or link to this item:
https://hdl.handle.net/11681/5057Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Chen, Pi-Fuay | - |
| dc.contributor.author | Fox, Neil D. | - |
| dc.date.accessioned | 2016-03-18T14:35:31Z | - |
| dc.date.available | 2016-03-18T14:35:31Z | - |
| dc.date.issued | 1983-04 | - |
| dc.identifier.uri | http://hdl.handle.net/11681/5057 | - |
| dc.description | Research note | - |
| dc.description | 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. | - |
| dc.publisher | U.S. Army Engineer Topographic Laboratories. | - |
| dc.publisher | Engineer Research and Development Center (U.S.) | - |
| dc.relation | http://acwc.sdp.sirsi.net/client/en_US/search/asset/1047566 | - |
| dc.relation.ispartofseries | ETL ; 0323. | - |
| dc.rights | Approved for public release; distribution is unlimited. | - |
| dc.source | This Digital Resource was created from scans of the Print Resource. | - |
| dc.subject | Hough transform | - |
| dc.subject | Image edge ehancement | - |
| dc.subject | Radar feature extraction and recognition | - |
| dc.title | Radar bridge patterns extraction and recognition | - |
| dc.type | Report | en_US |
| Appears in Collections: | Research Note | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ETL-0323.pdf | 1.85 MB | Adobe PDF |  View/Open |