Direction navigability analysis of geomagnetic field based on Gabor filter
| Autor: | Xiao Jing, Duan Xiusheng, Wang Jianchen, QI Xiaohui |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Matching (graph theory)
Computer science business.industry Particle swarm optimization 020206 networking & telecommunications Terrain Pattern recognition 02 engineering and technology Support vector machine Earth's magnetic field Gabor filter Pattern recognition (psychology) 0202 electrical engineering electronic engineering information engineering Navigability 020201 artificial intelligence & image processing Artificial intelligence business |
| Zdroj: | Journal of Systems Engineering and Electronics. 29:378-385 |
| ISSN: | 1004-4132 |
| Popis: | Direction navigability analysis is a supplement to the navigability analysis theory, in which extraction of the direction suitable-matching features (DSMFs) determines the evaluation performance. A method based on the Gabor filter is proposed to estimate the direction navigability of the geomagnetic field. First, the DSMFs are extracted based on the Gabor filter's responses. Second, in the view of pattern recognition, the classification accuracy in fault diagnosis is introduced as the objective function of the hybrid particle swarm optimization (HPSO) algorithm to optimize the Gabor filter's parameters. With its guidance, the DSMFs are extracted. Finally, a direction navigability analysis model is established with the support vector machine (SVM), and the performances of the models under different objective functions are discussed. Simulation results show the parameters of the Gabor filter have a significant influence on the DSMFs, which, in turn, affects the analysis results of direction navigability. Moreover, the risk of misclassification can be effectively reduced by using the analysis model with optimal Gabor filter parameters. The proposed method is not restricted in geomagnetic navigation, and it also can be used in other fields such as terrain matching and gravity navigation. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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