Spatial resolution requirements for automated cartographic road extraction
Photogrammetric Engineering and Remote Sensing
By: S. Benjamin and L. Gaydos
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Abstract
Ground resolution requirements for detection and extraction of road locations in a digitized large-scale photographic database were investigated. A color infrared photograph of Sunnyvale, California was scanned, registered to a map grid, and spatially degraded to 1- to 5-metre resolution pixels. Road locations in each data set were extracted using a combination of image processing and CAD programs. These locations were compared to a photointerpretation of road locations to determine a preferred pixel size for the extraction method. Based on road pixel omission error computations, a 3-metre pixel resolution appears to be the best choice for this extraction method. -Authors
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Spatial resolution requirements for automated cartographic road extraction |
| Series title | Photogrammetric Engineering and Remote Sensing |
| Volume | 56 |
| Issue | 1 |
| Year Published | 1990 |
| Language | English |
| Larger Work Type | Article |
| Larger Work Subtype | Journal Article |
| Larger Work Title | Photogrammetric Engineering and Remote Sensing |
| First page | 93 |
| Last page | 100 |
| Google Analytic Metrics | Metrics page |