Multisensor and Multiresolution Data Fusion for Interpretation of Urban Area.

Multisensor data fusion for automated scene interpretation

An approach to the combined extraction of linear as well as two-dimensional objects from multisensor data based on a feature-and object-level fusion of the results is proposed. The data sources are DAIS hyperspectral data, AES-1 SAR data, and high-resolution panchromatic digital orthoimages. Rural test areas consisting of a road network, agricultural elds, and small villages were investigated. ...

Unmixing-based multisensor multiresolution image fusion

Constrained and unconstrained algorithms of the multisensor multiresolution technique (MMT) are discussed. They can be applied to unmix low-resolution images using the information about their pixel composition from co-registered high-resolution images. This makes it possible to fuse the lowand high-resolution images for a synergetic interpretation. The constrained unmixing preserves all the ava...

Multisensor Data Fusion

Multisensor Data Fusion

IMultisensor data fusion refers to the acquisition, processing and synergistic combination of information gathered by various knowledge sources and sensors to provide a better understanding of a phenomenon. It is a fascinating and rapidly evolving field that has generated a lot of excitement in the research and development community. These concepts are being applied to a wide variety of fields ...

Fusion of Heterogeneous Multisensor Data

One of the main future tasks in the field of reconnaissance and surveillance is the data fusion of heterogeneous systems. For this purpose, sensor data of airborne and spaceborne systems, which acquire the data from the same scene with different spatial and spectral coverage, are used. The employment of different sensors offers the opportunity to take benefit of the specific sensor characterist...