B. Gruber-Geymayer

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This paper describes the fusion of information extracted from multispectral digital aerial images for land use classification. The proposed approach integrates spectral classification techniques and spatial information. The multispectral digital aerial images consist of a high resolution panchromatic channel as well as lower resolution RGB and NIR channels(More)
This paper describes the land use classification of multispectral digital aerial images, the removal of buildings from the digital surface model and the visualization of the textured digital surface model with reconstructed buildings. The proposed approach applies spectral classification techniques to multispectral digital aerial images with RGB and NIR(More)
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