Symmetric magnetic anomaly objects’ orientation recognition based on local binary pattern and support vector machine

HIGHLIGHTS

• who: Jianyong Zheng and colleagues from the The Army Engineering University of PLA Shijiazhuan Campus, nd Floor, Building, No, have published the research work: Symmetric Magnetic Anomaly Objects’ Orientation Recognition Based on Local Binary Pattern and Support Vector Machine, in the Journal: Symmetry 2019, 97 of /2019/
• what: To identify the or recognize the attitude of small objects at shallow depth the authors propose a method of extracting local binary pattern (LBP) features from denoised signals and classifying objects that have different orientations based on support vector machine (SVM). The aim of the simulation is . . .
  

   

  

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