Lars Aurdal

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In this study we have looked into the problem of vehicle detection in high-resolution satellite images. Based on the input from the local road authorities, we have focused not only on highways, but also on inner city roads, where more clutter is expected. The study site is the city of Oslo, Norway. To do vehicle detection in these areas, we propose an(More)
— Ground cover classification based on a single satellite image can be challenging. The work reported here concerns the use of multitemporal satellite image data in order to alleviate this problem. We consider the problem of vegetation mapping and model the phenological evolution of the vegetation using a Hidden Markov Model (HMM). The different vegetation(More)
7 ABSTRACT Nasal delivery is considered for an increasing number of existing and new drugs and vaccines, but current nasal delivery devices have major disadvantages. The Norwegian company OptiNose AS is developing a novel concept that challenges traditional delivery systems. The patended bi-directional delivery system improves drug and vaccine distribution(More)
— This work concerns the alignment of growth seasons based on satellite data. This work is motivated by a high mountain vegetation classification problem in Norway. Vegetation classes are characterized by their temporal evolution through a growth season. Data of high spatial resolution, like LANDSAT data, are often temporally sparse. In order to get a(More)
Norsk Regnesentral Norsk Regnesentral (Norwegian Computing Center, NR) is a private, independent, non-profit foundation established in 1952. NR carries out contract research and development projects in the areas of information and communication technology and applied statistical modeling. The clients are a broad range of industrial, commercial and public(More)
Variations in foliar mass and chlorophyll concentration are likely to reflect temporal variation in forest health well, by capturing both defoliation and discoloration symptoms. Canopy chlorophyll mass is the product of foliar mass and chlorophyll concentration. In the current project, we try to model these two variables using airborne LiDAR and(More)