City Mapping by automated extraction of imagery data
Mapping cities is deemed to be one of the most challenging tasks in the automated analysis of image data, as urban areas are composed of highly complex spatial and spectral structures. Combining different data types -radar data, multispectral to hyperspectral optical imagery, as well as LiDAR point clouds and thermal information – ask for different ways of processing. eCognition software provides an excellent basis for the comprehensive analysis of different data, making use of a variety of implemented methods.
Tama Group presents an application for detailed extraction of certain features by synergistic analysis of optical imagery and LiDAR data.