Underground target detection and recognition system and method based on feature fusion
A technology of feature fusion and target detection, applied in radio wave measurement systems, electrical/magnetic exploration, geophysical measurements, etc., can solve the problems of dielectric loss dispersion, inaccuracy, and antenna characteristic loading mismatch, and achieve accurate recognition high degree of effect
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[0144] Embodiment: comparative analysis of measured data
[0145] For comparative analysis, four experiments were carried out:
[0146] (1) Used to test the recognition of objects of different shapes. The data used are the data obtained from the measurement of spherical bodies, tubular bodies, square bodies, etc. respectively. The experimental method is to preprocess the measured data first, perform parameter calculation and feature extraction, and perform target shape recognition.
[0147] (2) It is used to identify objects of different materials. The measurement data used are the data obtained from the measurement of metal (iron) pipe, plastic, cement and soil respectively. Firstly, the measurement data is preprocessed to obtain typical channel data and untargeted multi-channel soil data. Through Welch power spectrum, high-order spectrum estimation, and using wavelet neural network for training and recognition.
[0148] (3) WNN (Wavelet Neural Network), BP-NN (BackPropa...
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