Semi-Automatic Extraction of Information from Satellite Images

This master thesis project deals with the semi-automatic extraction of information on satellite images. Some Geographic information systems (GIS) are dedicated to the issue of data production. The graphical user interface of these GIS is essentially passive, and only provides basic CAD tools for intelligence information mapping such as geometric and semantic capture of spatial objects and semantics improvement of geographic objects. As well as CAD software, they improve the operator productivity in certain limits that of ergonomics. Thus, by combining some generic image processing algorithms, we have implemented a component of semi-automatic extraction of features on satellite images. We gave a priority on the interaction between a user and the component. The user will be only focused on theinterpretation of the images and the component will perform the repetitive task for him. The addressed features were suburban roads, hydrographic area boundaries and shorelines. This system based on powerful tools such as the Orfeo Toolbox (core of the) and Qt (for the GUI) has been tested on images from different stellites and the results are quite satisfactory. This opens perspectives to improve and optimize this system in the aim to integrate it into a GIS solution