Multisensor Data Fusion for Spaceborne and Airborne Reduction of Mine Suspected Areas

Multisensor Data Fusion for Spaceborne and Airborne Reduction of Mine Suspected Areas

The problem of mined area reduction is addressed in this paper. Pieces of information collected using airborne multispectral scanners and airborne full polarimetric SAR, together with context information, all integrated in a geographical information system, are classified and combined in order to find indicators of mine presence and mine absence and provide image analysts with adequate tools to...

Multisensor data fusion and decision support for airborne target identification

Abstruct-A knowledge-based approach and a reasoning system for multisensor data fusion (MSF) is presented. The scenario taken for the example is an air-land battlefield situation. A data fusion system obtains data from a variety of sensors. This is an essential step in a Command, Control, Communication and Intelligence (C31) system. Automatic processing of sensor data has become essential due t...

Feature Dimension Reduction of Multisensor Data Fusion using Principal Component Fuzzy Analysis

These days, the most important areas of research in many different applications, with different tools, are focused on how to get awareness. One of the serious applications is the awareness of the behavior and activities of patients. The importance is due to the need of ubiquitous medical care for individuals. That the doctor knows the patient's physical condition, sometimes is very important. O...

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 ...