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Automatic classification of high resolution satellite imagery - A case study for urban areas in the Kingdom of Saudi Arabia

Maas, Alina; Alrajhi, M.; Alobeid, A.; Heipke, Christian (Göttingen : Copernicus GmbH, 2017)

Updating topographic geospatial databases is often performed based on current remotely sensed images. To automatically extract the object information (labels) from the images, supervised classifiers are being employed. ...
Hierarchical higher order crf for the classification of airborne lidar point clouds in urban areas

Niemeyer, Joachim; Rottensteiner, Franz; Sörgel, Uwe; Heipke, Christian (Göttingen : Copernicus GmbH, 2016)

We propose a novel hierarchical approach for the classification of airborne 3D lidar points. Spatial and semantic context is incorporated via a two-layer Conditional Random Field (CRF). The first layer operates on a point ...
Joint classification of ALS and DIM point clouds

Politz, F.; Sester, M. (Göttingen : Copernicus GmbH, 2019)

National mapping agencies (NMAs) have to acquire nation-wide Digital Terrain Models on a regular basis as part of their obligations to provide up-to-date data. Point clouds from Airborne Laser Scanning (ALS) are an important ...
A two-layer Conditional Random Field model for simultaneous classification of land cover and land use

Albert, Lena; Rottensteiner, Franz; Heipke, Christian (Göttingen : Copernicus GmbH, 2014)

This paper proposes a two-layer Conditional Random Field model for simultaneous classification of land cover and land use. Both classification tasks are integrated into a unified graphical model, which is reasonable due ...

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Browsing by Subject "Classification results"

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