A new divergence measure for belief functions in D-S evidence theory for multisensor data fusion.
Fuyuan XiaoPublished in: Inf. Sci. (2020)
Keyphrases
- multi sensor
- data fusion
- dempster shafer
- divergence measure
- kullback leibler
- belief functions
- mutual information
- information fusion
- fuzzy c means
- fusion algorithm
- dempster shafer theory
- multiple sensors
- registration accuracy
- fusion methods
- sensor fusion
- distance measure
- fusion method
- kullback leibler divergence
- image fusion
- fusion process
- feature level
- image registration
- feature extraction
- image processing
- probability theory
- evidential reasoning
- real time
- decision making
- situation assessment
- fuzzy clustering
- image segmentation
- fuzzy sets
- rough sets
- fuzzy logic
- pattern recognition