| 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 |
| Genre: | Article |
| ProdID: | 70016191 |
| Citation Author: | Benjamin, S.; Gaydos, L. |
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| Citation End Page: | 100 |
| Citation Issue: | 1 |
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| Citation Language: | English |
| Citation Larger Work Title: | Photogrammetric Engineering and Remote Sensing |
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| Citation Number Of Pages: | 8 |
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| Citation Search Results Text: | Spatial resolution requirements for automated cartographic road extraction; 1990; Article; Journal; Photogrammetric Engineering & Remote Sensing; Benjamin, S.; Gaydos, L. |
| Citation Start Page: | 93 |
| Citation Volume: | 56 |
| Citation Year: | 1990 |
| Type: | citation/reference |
| Text: | Spatial resolution requirements for automated cartographic road extraction; 1990; Article; Journal; Photogrammetric Engineering & Remote Sensing; Benjamin, S.; Gaydos, L. |
| URL (THUMBNAIL): | http://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg |
| Date Other: | Mon, 1 Jan 1990 00:00 -0600 |
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