Name
Title | ||
|---|---|---|
An Intelligent Fusion Method of Sequential Images Based on Improved DSmT for Target Recognition |
Abstract | ||
|---|---|---|
It is proposed that a sequential images object recognition method combining a BP neural network with the fast mass functions convergence algorithm based on DSmT. The revised Hu invariant moments are used as the image features. And the sequential images are fused in time domain in the view of information fusion. The basic belief assignment function is created by the initial recognition result from a BP neural network. It completes the decision-level fusion with the fast mass functions convergence algorithm based on DSmT. Simulation result shows that the proposed method can improve the accuracy significantly for three-dimensional aircraft images target recognition. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/CASoN.2010.90 | CASoN |
Keywords | Field | DocType |
bp neural network,three-dimensional aircraft images target,target identification,image fusion,improved dsmt,aerospace computing,hu invariant moments,information fusion,fast mass functions convergence algorithm,target recognition,backpropagation,sequential images object recognition method,three-dimensional aircraft images target recognition,data fusion,recognition method,fast mass function,image sequences,decision-level fusion,object recognition,sequential image,intelligent fusion method,initial recognition result,simulation result,belief assignment function,neural nets,dsmt,convergence,image recognition,artificial neural networks,feature extraction,neural network,image features,time domain,three dimensional | Convergence (routing),Image fusion,Computer science,Artificial intelligence,Artificial neural network,Computer vision,Pattern recognition,Feature (computer vision),Feature extraction,Sensor fusion,Backpropagation,Machine learning,Cognitive neuroscience of visual object recognition | Conference |
ISBN | Citations | PageRank |
978-1-4244-8785-1 | 0 | 0.34 |
References | Authors | |
3 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Miao Zhuang | 1 | 3 | 2.49 |
| Cheng Yongmei | 2 | 71 | 15.21 |
| Pan Quan | 3 | 1 | 0.69 |
| Hou Jun | 4 | 52 | 9.26 |
| Liu Zhunga | 5 | 0 | 0.34 |