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] Example: Comparative analysis of measured data
[0145] For comparison and analysis, four experiments are carried out:
[0146] (1) It is used to test the recognition of objects of different shapes. The data used are the data obtained for the measurement of sphere, tube, square, etc. The experimental method is to first preprocess the measured data, perform parameter calculation and feature extraction, and perform target shape recognition.
[0147] (2) Used for the recognition of objects of different materials. The measurement data used is the data obtained for metal (iron) pipe, plastic, cement and soil. Firstly, the measurement data is preprocessed to obtain typical channel data and multi-channel soil data without targets. Through Welch power spectrum, high-order spectrum estimation, and the use of wavelet neural network for training and recognition.
[0148] (3) WNN (Wavelet Neural Network), BP-NN (BackPropag, BP Network) and RBF-NN (RBF Neural Network, Radial Function Ne...
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