Interest has been growing in the use of multiple sensors to increase the capabilities of intelligent systems. The issues involved in integrating multiple sensorsinto the operation of a system are presented in the context of the type of information these sensors can uniquely provide. The advantages gained through the synergistic use of multisensory information can be decomposed into a combinatio...

On theory of multisensor state fusion estimation, more research is a single rate synchronization problem, however, it is the multirate asynchronous problem often encountered in practice. Therefore, research on the state fusion estimation of asynchronous multirate multisensor have more practice application value. In this paple, by expand the dimension of the system state and measurements and by ...

Rui Cortes~ ao Ralf Koeppe University of Coimbra German Aerospa e Center, (DLR) Ele tri al Engineering Department Institute of Roboti s and System Dynami s Institute of Systems and Roboti s, (ISR) P.O. Box 1116 3030 Coimbra 82230 Wessling Portugal Germany email: ortesao isr.u .pt email: Ralf.Koeppe dlr.de Abstra t The paper des ribes the design of a data fusion module for skill transfer purpose...

Data fusion techniques are used in many tracking and surveillance systems as well as in applications where reliability is of a main concern. One solution for design of such systems is to employ a number of sensors (maybe of different types) and to fuse the information obtained from all these sensors on a central processor. Past attempts to solve this problem required an organization of a feedba...

Multisensor data fusion systems seek to combine information from multiple sources and sensors in order to achieve inferences that cannot be achieved with a single sensor or source. Applications of data fusion for Department of Defense (DoD) applications include automatic target recognition (ATR), identification-friend-foe-neutral (IFFN), and battlefield surveillance and situation assessment. Th...

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. ...

The practical use of very high resolution visible and near-infrared (VNIR) data is still growing (IKONOS, Quickbird, GeoEye-1, etc.) but for classification purposes the number of bands is limited in comparison to full spectral imaging. These limitations may lead to the confusion of materials such as different roofs, pavements, roads, etc. and therefore may provide wrong interpretation and use o...

The objective of this study is to propose multiresolution data fusion scheme using multiresolution analysis (MRA). Three techniques compared, respectively based on Haar wavelet basis (HWB), Daubechies wavelet basis (DWB), and IHS transform. Daubechies Wavelet Basis (DWB) is far more efficient than the HWB and IHS transform, thus establishing the advantages for data fusion of formally multiresol...

With the evolution of computer and fusion algorithms, data fusion systems have been applied to many areas, both in civilian and military fields. In the past, in the multisensor fusion community, the research goal has been primarily focused on establishing a computational approach for fusion processing and algorithms. However, it will be very useful to be able to characterize the relationship be...