INFORMATION GÉOGRAPHIQUE ET IMAGES A TRÈS HAUTE RÉSOLUTION UTILITÉ ET APPLICATIONS EN MILIEU URBAIN

Abstract : Since the mid 1990s ‘INFO-STRATEGY', i.e. the strategic use of Geographic Information, is one of the reliable goals in urban management, planning and sustainable development. Geographic Information requires multisource and multiscale data, updated on a regular basis at appropriate time periods. Earth Observation data—such as aerial photography and satellite image—represent an important source for GI. Recently, the use of Very High Resolution imagery data (VHR - finer than 5m) offers an abundance of numerical information and therefore an important possibility to use GI in decision-making concerning the urban environment. A reflection is thus required in terms of needs rather than supply in order to meet the requirements of localised information on a variety of scales. Moreover, defining the needs of the ‘end users' (decision-makers, managers, technicians...) corresponds to propose the necessary adjustment to the definition of the capacity of these new sensors. In this context, on the basis of comparisons and surveys of the ‘end users' a reference grid defining the needs of GI on a large-scale basis has been established. Some “potential applications” of metric images are highlighted. Tests have been carried out in order to analyse very precisely the benefits of use of these new sensors. An important factor in the increase of spatial resolution is a new vision of the territory that is closer to reality. Urban objects are individually recognisable (field of identification) and can be characterised by their components (field of analysis). This superabundance of details disturbs the classical automatic procedures of extraction (per pixel classification) and makes complex the attribution of objects to existing nomenclatures. After having tested several traditional algorithms used on HR images, it appears necessary to transcribe the rules of identification of urban objects and to integrate them into an ‘object-oriented' classification method.
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https://tel.archives-ouvertes.fr/tel-00467474
Contributor : Anne Puissant <>
Submitted on : Friday, March 26, 2010 - 3:56:09 PM
Last modification on : Wednesday, March 14, 2018 - 4:40:12 PM
Long-term archiving on : Monday, June 28, 2010 - 4:48:35 PM

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  • HAL Id : tel-00467474, version 1

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Anne Puissant. INFORMATION GÉOGRAPHIQUE ET IMAGES A TRÈS HAUTE RÉSOLUTION UTILITÉ ET APPLICATIONS EN MILIEU URBAIN. Géographie. Université Louis Pasteur - Strasbourg I, 2003. Français. ⟨tel-00467474⟩

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