Road detection on radar imagery
| dc.contributor.author | Kim, Jungwhan John | en |
| dc.contributor.department | Computer Science and Applications | en |
| dc.date.accessioned | 2015-06-23T19:08:29Z | en |
| dc.date.available | 2015-06-23T19:08:29Z | en |
| dc.date.issued | 1985 | en |
| dc.description.abstract | A facet based road network detection procedure is described for radar imagery. The procedure includes a line detection part and a road detection and connection part. The line detection part analytically detects linear features using a facet Valley finding technique. Valleys are defined as zero crossings of the first directional derivatives of a bicubic facet model taken in a direction extremizing the second directional derivative. The road detection and connection part statistically screens the linear features on a component by component basis, and then optimally connects the screened linear features using a dynamic programming algorithm. This thesis also includes as a preprocessing technique for noisy images, an adaptive noise removal algorithm, and suggests a practical method of estimating a local noise variance. | en |
| dc.description.degree | Master of Science | en |
| dc.format.extent | vii, 164 leaves | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.uri | http://hdl.handle.net/10919/53080 | en |
| dc.language.iso | en_US | en |
| dc.publisher | Virginia Polytechnic Institute and State University | en |
| dc.relation.isformatof | OCLC# 13041554 | en |
| dc.rights | In Copyright | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
| dc.subject.lcc | LD5655.V855 1985.K537 | en |
| dc.subject.lcsh | Optical radar | en |
| dc.subject.lcsh | Image processing | en |
| dc.title | Road detection on radar imagery | en |
| dc.type | Thesis | en |
| dc.type.dcmitype | Text | en |
| thesis.degree.discipline | Computer Science and Applications | en |
| thesis.degree.grantor | Virginia Polytechnic Institute and State University | en |
| thesis.degree.level | masters | en |
| thesis.degree.name | Master of Science | en |
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