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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)
Oslo in 1988. She is currently working as a researcher at the Norwegian Computing Center and has been involved in several projects concerning document image analysis and machine vision. Her research interests lie mainly within the various applications of statistical pattern recognition. Summary In this paper, we demonstrate that hidden Markov chains have a(More)
—Frequent mapping of snow parameters, like snow cover area (SCA) and snow surface wetness (SSW), is important for applications in hydrology, meteorology and climatology. In this study we have developed a few general multi-sensor/time-series approaches for such monitoring. The objective is to analyze, on a daily basis, a time series of optical and Synthetic(More)
The ENVISAT satellite with its many sensors opens for new, interesting approaches of combined multi-sensor, multi-temporal monitoring. In this study, we have focused on monitoring of snow parameters in the snowmelt seasons of 2003 and 2004 (April-June) in South Norway. The sensors used in this study are ENVISAT MERIS and ASAR and Terra MODIS. The study is(More)