| Titre | Optimization of the Application of the Touzi Decomposition for Wetland Classification Using Polarimetric Radarsat-2 |
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| Auteur | Gosselin, G; Touzi, R; Bhattacharya, A |
| Source | 33rd Canadian Symposium on Remote Sensing, abstracts; par Canadian Symposium on Remote Sensing; 2012 p. 20  Accès ouvert |
| Liens | Online - En ligne
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| Liens | Abstracts (PDF, 1.22 MB)
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| Année | 2012 |
| Séries alt. | Secteur des sciences de la Terre, Contribution externe 20140076 |
| Réunion | 33rd Canadian Symposium on Remote Sensing; Ottawa; CA; juin 11-14, 2012 |
| Document | livre |
| Lang. | anglais |
| Media | en ligne; numérique |
| Formats | pdf |
| Sujets | télédétection; imagerie par satellite; géophysique |
| Programme | Science de la télédétection spatiale |
| Résumé | (disponible en anglais seulement)
Canada's population is highly urbanized and its growth is reflected in rapid land use/ land cover around major cities. These factors highlight the need for
frequent revisions of those topographic maps containing significant urban attribute content (i.e. approximately 1500 1:50,000 mapsheets). To address this need, a 'hybrid', high throughput image processing system has been developed that utilizes
moderate resolution SPOT imagery as its primary data source. This paper describes the elements of the system used to map urban 'tint', i.e. those built-up areas (typically residential areas) characterized by structures too small to be represented as
discrete map entities. A data-driven approach is employed that exploits spectral indices to reduce data dimensionality and facilitate automation. Full scene interpretation can be completed in approximately 2-3 minutes on low-cost desktop computers
while seamless large area mapping can be achieved using classification compositing processing. Two major products have been generated (spanning theTorontotoWindsorandOttawatoMontrealcorridors) and assessed for consistency with map results generated
with traditional labour-intensive means (i.e. visual interpretation of aerial photography). Our results exhibit both high levels of agreement (>85%) with tint information on currently available maps and consistent results over a broad range of
processing parameter values. Finally, it is argued that the automated techniques described here have applicability in international urban mapping initiatives and the methodology can be applied to the mapping of natural features such as water bodies
and forests. |
| GEOSCAN ID | 294583 |
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