| Title | Literature review on the potential of high-resolution optical satellite imagery for the extraction of mapping information |
| Download | Downloads |
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| Licence | Please note the adoption of the Open Government Licence - Canada
supersedes any previous licences. |
| Author | Turgeon-Pelchat, M |
| Source | Geomatics Canada, Open File 50, 2019, 58 pages, https://doi.org/10.4095/314763  Open Access |
| Year | 2019 |
| Publisher | Natural Resources Canada |
| Document | open file |
| Lang. | English |
| Media | on-line; digital |
| Related | This publication is a translation of Revue de littérature
sur le potentiel de l'imagerie satellitaire optique haute résolution pour l'extraction d'informations cartographiques |
| File format | pdf (Adobe® Reader®) |
| Subjects | geophysics; Science and Technology; remote sensing; satellite imagery; mapping techniques; cartography; hydrography; vegetation; Methodology; Buildings; Road networks; Indexes |
| Illustrations | tables |
| Program | Geobase |
| Released | 2019 06 13 |
| Summary | (Plain Language Summary, not published)
This paper presents operational methods and applications for the extraction of map information from high-resolution optical imagery. Four themes of
extraction are treated according to their potential and according to the CCMEO's priorities: buildings, hydrographic features, roads and urban vegetation. This literature review aims to prioritize development efforts, identify the main limitations
and obtain a current state of the art. For each of the themes, the methods cover the traditional approaches of classification: pixel-by-pixels and object-oriented as well as machine learning approaches, including deep learning. This review also
reports on methods requiring multispectral imaging as well as those using only panchromatic or red green blue images. For each theme, the review includes a subsection on extraction methods combining optical imaging with other sensor types such as
LiDAR and RADAR. |
| GEOSCAN ID | 314763 |
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