A Signal Processing Framework for Rapid Detection of Tree Defects via a Standoff Tree Radar System

This paper proposes a framework for processing the B-scans of tree trunks and revealing the presence of trees' internal defects (i.e., cavities and decays) from the signatures of their reflections. The framework uses the B-scans obtained by a standoff step frequency continuous wave radar system...

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Vydáno v:Digest - IEEE Antennas and Propagation Society. International Symposium (1995) s. 345 - 346
Hlavní autoři: Qian, Jiwei, Lee, Yee Hui, Lee, Daryl, Yusof, Mohamed Lokman Mohd, Yucel, Abdulkadir C.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 23.07.2023
Témata:
Radar antennas
Radar detection
Radar imaging
Radar signal processing
Reflection
Reflector antennas
Surface waves
ISSN:1947-1491
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Shrnutí:This paper proposes a framework for processing the B-scans of tree trunks and revealing the presence of trees' internal defects (i.e., cavities and decays) from the signatures of their reflections. The framework uses the B-scans obtained by a standoff step frequency continuous wave radar system, moved in straight trajectories at a standoff distance facing the tree trunks' surfaces. In particular, the proposed framework first applies an antenna calibration to the raw B-scans to suppress the antenna's internal reflections. Then, it leverages a column-connection clustering (C3) algorithm to remove the signatures of the reflections from the trunk surface. Finally, it applies a Kaiser window to the Fourier-transformed A-scans of the processed B-scan to further increase the signal-to-noise ratio (SNR). The application of the proposed framework to measured (raw) B-scans shows that the proposed framework improves the SNR by more than 30 dB and reveals the signatures of the defects in the B-scans. The proposed framework can be used for many other standoff radar applications, such as through-the-wall imaging, defect/anomaly detection in concrete walls, in which the magnitude of the reflection from the main target is two/three orders smaller than the magnitude of the unwanted reflections from the surfaces or other objects.
ISSN:1947-1491
DOI:10.1109/USNC-URSI52151.2023.10237384