Ali et al., 2021 - Google Patents
Feature extraction based on empirical mode decomposition for shapes recognition of buried objects by ground penetrating radarAli et al., 2021
View PDF- Document ID
- 9462493718465043718
- Author
- Ali H
- Azalan M
- Zaidi A
- Amran T
- Ahmad M
- Elshaikh M
- Publication year
- Publication venue
- Journal of Physics: Conference Series
External Links
Snippet
Ground penetrating radar (GPR) is one of the promising non-destructive imaging tools investigations for shallow subsurface exploration such as locating and mapping the buried utilities. In practical applications, GPR images could be noisy due to the system noise, the …
- 238000000605 extraction 0 title abstract description 17
Classifications
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- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
- G06K9/4671—Extracting features based on salient regional features, e.g. Scale Invariant Feature Transform [SIFT] keypoints
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- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
- G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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- G06K9/6228—Selecting the most significant subset of features
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