Underwater multi-sensor Bayesian distributed detection and data fusion

Multi sensor data fusion for change detection

When performing post-classification comparison using images of different sensors, change detection is still possible even if images have different resolutions. However, in this case, change pixels are detected in the pixel size of coarser resolution image. This problem can be solved using higher resolution aerial photographs or panchromatic images if available. In multi sensor image fusion, ima...

Multi Sensor Information Fusion: Distributed

This paper describes a distributed agent-based paradigm, for hybrid (soft and hard) computation involved in multisensor information (data) fusion. The computations are interpreted as the outcome arising out of deterministic, nondeterministic or stochastic interaction among the agents, in an environment containing multiple sensors. These interactions are like chemical reactions and the evolution...

Multi-sensor data fusion using Bayesian programming : an automotive application

Multi - Sensor Data Fusion Using Bayesian Programming : anAutomotive

Multi-sensor Fusion through Adaptive Bayesian Networks

Common sensory devices for measuring environmental data are typically heterogeneous, and present strict energy constraints; moreover, they are likely affected by noise, and their behavior may vary across time. Bayesian Networks constitute a suitable tool for pre-processing such data before performing more refined artificial reasoning; the approach proposed here aims at obtaining the best trade-...