Anne Puissant

Ontology-Based Object Recognition for Remote Sensing Image Interpretation

The multiplication of very high resolution (spatial or spectral) remote sensing images appears to be an opportunity to identify objects in urban and periurban areas. The classification methods applied in the object-oriented image analysis approach could be based on the use of domain knowledge. A major issue in these approaches is domain knowledge formalization and exploitation. In this paper, we propose a recognition method based on an ontology which has been developed by experts of the domain. In order to give objects a semantic meaning, we have developed a matching process between an object and the concepts of the ontology. Experiments are made on a Quickbird image. The quality of the results shows the effectiveness of the proposed method.

Extraction of urban features in Strasbourg, France: comparison of two fusion algorithms for Quickbird MS and pan data

Urban areas might be defined as complex and dynamic system that needs specific and reliable products to be observed and managed. Very high resolution (VHR) satellite, such as Quickbird image, provides sub-meter spatial resolution images in the panchromatic mode and multispectral images. Hence, the idea of fusing synthetic multispectral images with a highest spatial resolution, enable the creation of usable products for urban planning and operational purposes. Such kind of techniques provides imagery products that need to be assessed in terms of quality and reliability towards urban practices and purposes. This paper compares quantitatively and qualitatively two fusion methods over the Strasbourg area (France). It defines a more complete set of parameters for the use of fusion in urban areas studies and leads to quality conclusions regarding global and local assessments.

Monitoring of Earth Surface Motion and Geomorphologic Processes by Optical Image Correlation

Abstract: The detection and quantification of motion of the Earth’s surface are essential for the study and understanding of many geomorphological and geological processes such as tectonics, earthquakes, landslides and ice glaciers, to name a few. The direct measurement of earth displacement and deformation falls into larger discipline of geodesy, which also includes studies of the shape, movement and gravitational field of the Earth. Traditional surveying methods to measure surface motion comprise the use of theodolites, electronic distance meters, total stations and nowadays typically global navigation satellite systems (GNSS). While such methods can provide very precise point-wise measurements, aerial and satellite remote sensing techniques are generally more suitable for measuring dense motion fields of larger and/or inaccessible areas.