Tree roots reconstruction framework for accurate positioning in heterogeneous soil
Ground-penetrating radar has recently found wide application in the underground imaging of tree roots. However, ignoring the random and complex nature of the heterogeneous soil and assuming the soil's relative permittivity constant throughout the survey region may yield an inaccurate tree root...
| Main Authors: | , , , , , |
|---|---|
| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2022
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/163111 |
| _version_ | 1811684656986193920 |
|---|---|
| author | Luo, Wenhao Lee, Yee Hui Sun, Hai-Han Ow, Lai Fern Mohamed Lokman Mohd Yusof Yucel, Abdulkadir C. |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Luo, Wenhao Lee, Yee Hui Sun, Hai-Han Ow, Lai Fern Mohamed Lokman Mohd Yusof Yucel, Abdulkadir C. |
| author_sort | Luo, Wenhao |
| collection | NTU |
| description | Ground-penetrating radar has recently found wide application in the underground imaging of tree roots. However, ignoring the random and complex nature of the heterogeneous soil and assuming the soil's relative permittivity constant throughout the survey region may yield an inaccurate tree root positioning. Meanwhile, the incompatible relative soil permittivity results in low image quality of the roots reconstruction. Furthermore, the soil's spatial heterogeneity introduces unwanted environmental clutter in the mapping of the tree root. A data processing framework is proposed to address these issues for retrieving the tree roots in heterogeneous soil environments. The proposed framework combines four techniques to be applied consecutively: First, a hyperbola extraction method based on a column-connection clustering algorithm is used to extract individual hyperbolae in B-scans, eliminate mutual influence in the process, and suppress noise. Second, an improved Hough transform technique is adopted to estimate the equivalent permittivity of each root's surrounding soil environment for each extracted hyperbola. Third, individual root restoration is done by transferring each hyperbola to a spot using its corresponding soil equivalent permittivity. Finally, individually restored features are combined in the final image. The images obtained via the proposed framework show a well reconstructed two-dimensional tree roots scenario. The applicability and the effectiveness of the proposed framework have been demonstrated through numerical simulations and field measurements. |
| first_indexed | 2024-10-01T04:32:06Z |
| format | Journal Article |
| id | ntu-10356/163111 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:32:06Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | ntu-10356/1631112022-11-23T02:24:22Z Tree roots reconstruction framework for accurate positioning in heterogeneous soil Luo, Wenhao Lee, Yee Hui Sun, Hai-Han Ow, Lai Fern Mohamed Lokman Mohd Yusof Yucel, Abdulkadir C. School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Data Processing Framework Ground-Penetrating Radar Ground-penetrating radar has recently found wide application in the underground imaging of tree roots. However, ignoring the random and complex nature of the heterogeneous soil and assuming the soil's relative permittivity constant throughout the survey region may yield an inaccurate tree root positioning. Meanwhile, the incompatible relative soil permittivity results in low image quality of the roots reconstruction. Furthermore, the soil's spatial heterogeneity introduces unwanted environmental clutter in the mapping of the tree root. A data processing framework is proposed to address these issues for retrieving the tree roots in heterogeneous soil environments. The proposed framework combines four techniques to be applied consecutively: First, a hyperbola extraction method based on a column-connection clustering algorithm is used to extract individual hyperbolae in B-scans, eliminate mutual influence in the process, and suppress noise. Second, an improved Hough transform technique is adopted to estimate the equivalent permittivity of each root's surrounding soil environment for each extracted hyperbola. Third, individual root restoration is done by transferring each hyperbola to a spot using its corresponding soil equivalent permittivity. Finally, individually restored features are combined in the final image. The images obtained via the proposed framework show a well reconstructed two-dimensional tree roots scenario. The applicability and the effectiveness of the proposed framework have been demonstrated through numerical simulations and field measurements. Ministry of National Development (MND) National Parks Board Published version This work was supported by the Ministry of National Development Research Fund, National Parks Board, Singapore. 2022-11-23T02:24:22Z 2022-11-23T02:24:22Z 2022 Journal Article Luo, W., Lee, Y. H., Sun, H., Ow, L. F., Mohamed Lokman Mohd Yusof & Yucel, A. C. (2022). Tree roots reconstruction framework for accurate positioning in heterogeneous soil. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 1912-1925. https://dx.doi.org/10.1109/JSTARS.2022.3151869 1939-1404 https://hdl.handle.net/10356/163111 10.1109/JSTARS.2022.3151869 2-s2.0-85124815464 15 1912 1925 en IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing © 2022 The authors. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/. application/pdf |
| spellingShingle | Engineering::Electrical and electronic engineering Data Processing Framework Ground-Penetrating Radar Luo, Wenhao Lee, Yee Hui Sun, Hai-Han Ow, Lai Fern Mohamed Lokman Mohd Yusof Yucel, Abdulkadir C. Tree roots reconstruction framework for accurate positioning in heterogeneous soil |
| title | Tree roots reconstruction framework for accurate positioning in heterogeneous soil |
| title_full | Tree roots reconstruction framework for accurate positioning in heterogeneous soil |
| title_fullStr | Tree roots reconstruction framework for accurate positioning in heterogeneous soil |
| title_full_unstemmed | Tree roots reconstruction framework for accurate positioning in heterogeneous soil |
| title_short | Tree roots reconstruction framework for accurate positioning in heterogeneous soil |
| title_sort | tree roots reconstruction framework for accurate positioning in heterogeneous soil |
| topic | Engineering::Electrical and electronic engineering Data Processing Framework Ground-Penetrating Radar |
| url | https://hdl.handle.net/10356/163111 |
| work_keys_str_mv | AT luowenhao treerootsreconstructionframeworkforaccuratepositioninginheterogeneoussoil AT leeyeehui treerootsreconstructionframeworkforaccuratepositioninginheterogeneoussoil AT sunhaihan treerootsreconstructionframeworkforaccuratepositioninginheterogeneoussoil AT owlaifern treerootsreconstructionframeworkforaccuratepositioninginheterogeneoussoil AT mohamedlokmanmohdyusof treerootsreconstructionframeworkforaccuratepositioninginheterogeneoussoil AT yucelabdulkadirc treerootsreconstructionframeworkforaccuratepositioninginheterogeneoussoil |