Knowledge discovery from satellite images in spatio-temporal context remains one of the major challenges in the remote sensing field. It is, always, difficult for a user to manuall...
In the 21st century, Aerial and satellite images are information rich. They are also complex to analyze. For GIS systems, many features require fast and reliable extraction of ope...
Sequential multi-sensor satellite images are used for the computation of mesoscale surface currents in the Northern and Southern Baltic Proper. Different marine surface films and ...
Benjamin Seppke, Martin Gade, Leonie S. Dreschler-...
The satellite image deconvolution problem is ill-posed and must be regularized. Herein, we use an edge-preserving regularization model using a ' function, involving two hyper...
This study is a part of a global project on urban scenes interpretation using high resolution satellite images. Actually, the research is focused on buildings and roads are used to...
Nesrine Chehata, Franck Jung, Marc Pierrot Deseill...
This paper proposes an image-based modeling of clouds where realistic clouds are created from satellite images using metaballs. The intention of the paper is for applications to s...
Remotely sensed images from satellite sensors such as MODIS Aqua and Terra provide high temporal resolution and wide area coverage. Unfortunately, these images frequently include ...
Semantic event recognition based only on vision cues has had limited success on unconstrained still pictures. Metadata related to picture taking provides contextual cues independe...
We propose an automatic method to geo-register maritime video feeds to satellite images. The method first detects horizon during the day time and apex during the night time for si...