Abstract
The classical least squares (LS) filtering method is combined with the subspace-based methods for buried target detection in ground penetrating radar (GPR) images. The LS method is used to estimate the next A-scans from previously observed A-scans which are assumed to belong to clutter samples. Generally, A-scans used in the initial step are accepted as clutter for the LS to work correctly. However, this is not guaranteed and if the first observed A-scan samples contain any target information, LS method will fail. To avoid target component presence in previously observed A-scans, the pre-processing step is integrated to keep only the clutter information. This step is based on obtaining clutter information from GPR image by using subspace-based methods. Various subspace-based methods are used to validate the efficiency of the proposed pre-processing step compared to the classical LS method. This additional preprocessing step does not bring any computational burden and is appropriate for real-time target detection.
Original language | English |
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Title of host publication | Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019 |
Editors | S. Menekay, O. Cetin, O. Alparslan |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 607-611 |
Number of pages | 5 |
ISBN (Electronic) | 9781538694480 |
DOIs | |
Publication status | Published - Jun 2019 |
Event | 9th International Conference on Recent Advances in Space Technologies, RAST 2019 - Istanbul, Turkey Duration: 11 Jun 2019 → 14 Jun 2019 |
Publication series
Name | Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019 |
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Conference
Conference | 9th International Conference on Recent Advances in Space Technologies, RAST 2019 |
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Country/Territory | Turkey |
City | Istanbul |
Period | 11/06/19 → 14/06/19 |
Bibliographical note
Publisher Copyright:© 2019 IEEE.
Keywords
- gprMax
- ICA
- least squares
- NMF
- PCA
- SVD