| Title | Development of a system for rapid topographic map revision of urban built-up areas |
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| Author | Zhang, Y; Guindon, B; Lemay, S |
| Source | Canadian Journal of Remote Sensing vol. 39, no. 5, 2013 p. 367-381, https://doi.org/10.5589/m13-045 |
| Image |  |
| Year | 2013 |
| Alt Series | Earth Sciences Sector, Contribution Series 20130250 |
| Publisher | Informa UK Limited |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Subjects | geophysics; remote sensing; topography; mapping techniques; computer mapping |
| Illustrations | schematic diagrams; images; histograms; tables |
| Program | Remote Sensing Science |
| Released | 2014 06 04 |
| Abstract | A "hybrid", high throughput image processing system is described to provide updated urban information on Canadian topographic maps from moderate resolution image sources such as SPOT. Two features are
of particular interest; Buildings to Scale (BTS) (i.e., large buildings to be represented by individual symbols), and Built-up Areas (BUA), the majority of urban developed encompassing smaller structures (typically residential areas) that are
represented on maps in a generalized way by a shading or tint. This paper addresses mapping of the latter, hereafter referred to as BUA mapping. A data-driven approach that utilizes a linear vegetation index to reduce data dimensionality and
facilitate automation was developed. Full scene interpretation can be completed in approximately 2-3 minutes even on low-cost desktop computers. Accuracy of the BUA mapping output is comparable with that previously provided through traditional
labour-intensive means (i.e., visual interpretation of aerial photography). Our process also provides a mapping of high intensity urban areas such as industrial parks and urban cores, thus providing search areas for subsequent extraction of large
buildings. Finally, it is argued that the automated techniques described here have applicability in international urban mapping initiatives and the methodology can be adapted to the mapping of natural features such as water bodies and forests.
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| Summary | (Plain Language Summary, not published)
Canada's population is highly urbanized and concentrated in the southern portion of the country. Rapid urban change is occurring both in terms of
expansion of major cities due to population growth and in the conversion of land from one use to another. These factors highlight the need for frequent revisions of maps dominated by man-made features. This paper reports on the development of a
methodology from satellite imagery to contribute information on these features. Traditional topographic map production has relied on intensive human interpretation of aerial photography; the methodology described here relies on computer processing of
satellite imagery to delineate "built-up" areas (smaller structures such as low-rise residential housing). The methodology supports rapid topographic mapping, outputs of which include the delineation of built-up areas as well as mapping of extended
areas of man-made surfaces. |
| GEOSCAN ID | 293084 |
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