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|All Authors / Contributors:||
Stéphane Lhomme; Christiane Weber; Denis Morin; Université Louis Pasteur (Strasbourg).
|Description:||1 vol. (258 p.) : ill. en noir et en coul. ; 30 cm.|
|Responsibility:||Stéphane Lhomme ; sous la direction de [Christiane Weber et Denis Morin].|
Urbanisation still remains one of the main problems worldwide. In order to reduce these problems, urban planners need to integrate spatial information in planning tools.Actually high expectations are made on Very High Spatial Resolution imagery (VHRS). However, interpretation methods seem not to be adapted to this new type of images.The aim of our study is to develop a new method for semi-automatic building extraction with VHRS.In the first chapter, the general context of our research is described with the definition of our objective.In the second chapter we verify the possibility of reaching our objective by analysing the technical characteristics of the images, the noise and the distortions which affect the images. The results confirm the potential of VHRS Imagery for urban objects analysis.In the third chapter we evaluate the quality of the Sherbrooke Ikonos image, the basic image of our analysis. A review of existing methods clearly show a common limit: the detection of building boundaries that finally induces a change in our methodological approach.The fourth chapter consist in the development of a building extraction method. After strict formalisation of our objectives, we present the theoretical principles of our approach based on textural building definition. In the following, additional informations (shadow and vegetation) are integrated to reduce commissions errors.The last chapter exposes the results. They clearly show the capacity of our method for building identification. However, they show some limitations of application, especially on large size building and /or in heterogeneous areas. We also propose possible applications such as analysis of suburban building or detection of natural disaster damages.The main outcome of this work is the originality of our theoretical approach that encourages new reflections for future research.