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A cascade hyperbolic recognition of buried objects using hybrid feature extraction in ground penetrating radar images
Author(s) -
Hasimah Ali,
Ahmad Firdaus Ahmad Zaidi,
Wan Khairunizam Wan Ahmad,
Mohd Shuhanaz Zanar Azalan,
Tengku Sarah Tengku Amran,
Megat Harun Al Rashid Megat Ahmad,
Mohamed Elshaikh
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1997/1/012018
Subject(s) - ground penetrating radar , artificial intelligence , feature (linguistics) , cascade , feature extraction , pattern recognition (psychology) , wavelet , discrete wavelet transform , computer vision , computer science , radar , geology , wavelet transform , engineering , telecommunications , linguistics , philosophy , chemical engineering
Ground penetrating radar (GPR) has been acknowledged as effective nondestructive technique for imaging the subsurface. But the process of recognizing hyperbolic pattern of buried objects is subjective and mainly relies upon operator’s knowledge and experience. This project proposed a hyperbolic recognition of buried objects using hybrid feature extraction in GPR subsurface mapping. In this framework, a cascade hyperbolic recognition by means of Empirical Mode Decomposition (EMD) and Discrete Wavelet Transform (DWT) are used as hybrid feature recognizing hyperbolic of buried objects. The rationale for an initial focus on cascade hyperbolic recognition is motivated by unique features exhibits by EMD & DWT behaviour in characterizing the hyperbolic pattern which make them particularly well suited to utilities detection in GPR. A series of experiments has been conducted on hyperbolic pattern based on hybrid features using four different geometrical shapes of cubic, cylindrical disc and spherical. Based on the results obtained, the hybrid features of IMF1+ wavelet transform (cH1) shows promising recognition rate in recognizing the hyperbolic that having different geometrical shapes of buried objects.

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