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Groth’s algorithm to detect the possible presence of landmines using changes in the reflection of plants

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dc.contributor.author Schmitz, P
dc.contributor.author Pretorius, R
dc.contributor.author Du Plooy, N
dc.contributor.author Cooper, Antony K
dc.date.accessioned 2023-10-12T12:49:42Z
dc.date.available 2023-10-12T12:49:42Z
dc.date.issued 2023-08
dc.identifier.citation Schmitz, P., Pretorius, R., Du Plooy, N. & Cooper, A.K. 2023. Groth’s algorithm to detect the possible presence of landmines using changes in the reflection of plants. http://hdl.handle.net/10204/13140 . en_ZA
dc.identifier.uri https://doi.org/10.5194/ica-adv-4-17-2023
dc.identifier.uri http://hdl.handle.net/10204/13140
dc.description.abstract Post-conflict reconstruction includes the removal of land mines and remnants of war. The CSIR conducted field experiments to determine the impact of TNT in the soil on plants as a possible means to detect landmines. All the leaf clip readings were done using a spectrometer to determine reflection and absorption of light at one micrometre intervals between 350 to 2500 micrometre. Laboratory analysis such as UPLC qTOF MS indicated that the TNT have an influence on the plants. Several indices such as Modified Red Edge Normalized Difference Vegetation Index (mNDVI705), Red Edge Position (REP) and Moisture Stress Index (MSI) did not show any significant differences between control plants and experimental plants with different TNT concentrations. Groth’s pattern matching algorithm designed to match several photographs of the same part of the universe. A set of triangles using dominant stars are created for each photograph and matched using an error band. If the selected triangles from the two photographs fit within the error band, then they are from the same section of the universe. Bands for the Pléiades instruments were simulated using the data from the spectrometer for each plant. The reflectance value of the band and the normalised midpoint wavelength of each Pléiades band were used to construct the triangles. The control plant triangle is then matched with the experimental plant and if the triangles do not match, then the effect of TNT on the plant is significant. The initial results with the control plants and experimental plants are positive. en_US
dc.format Fulltext en_US
dc.language.iso en en_US
dc.relation.uri https://workspace.csir.co.za/ssf/a/c/p_name/ss_forum/p_action/1/entityType/folderEntry/action/view_permalink/entryId/7361296/novl_url/1 en_US
dc.source 31st International Cartographic Conference, Cape Town, South Africa, 13 - 18 August 2023 en_US
dc.subject Detection en_US
dc.subject Clearing operations en_US
dc.subject Landmines en_US
dc.subject Reflectance en_US
dc.subject Simulation en_US
dc.title Groth’s algorithm to detect the possible presence of landmines using changes in the reflection of plants en_US
dc.type Conference Presentation en_US
dc.description.pages 6pp en_US
dc.description.note © Author(s) 2023. CC BY 4.0 License en_US
dc.description.cluster Smart Places en_US
dc.description.impactarea Housing and Urban Studies en_US
dc.identifier.apacitation Schmitz, P., Pretorius, R., Du Plooy, N., & Cooper, A. K. (2023). Groth’s algorithm to detect the possible presence of landmines using changes in the reflection of plants. http://hdl.handle.net/10204/13140 en_ZA
dc.identifier.chicagocitation Schmitz, P, R Pretorius, N Du Plooy, and Antony K Cooper. "Groth’s algorithm to detect the possible presence of landmines using changes in the reflection of plants." <i>31st International Cartographic Conference, Cape Town, South Africa, 13 - 18 August 2023</i> (2023): http://hdl.handle.net/10204/13140 en_ZA
dc.identifier.vancouvercitation Schmitz P, Pretorius R, Du Plooy N, Cooper AK, Groth’s algorithm to detect the possible presence of landmines using changes in the reflection of plants; 2023. http://hdl.handle.net/10204/13140 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Schmitz, P AU - Pretorius, R AU - Du Plooy, N AU - Cooper, Antony K AB - Post-conflict reconstruction includes the removal of land mines and remnants of war. The CSIR conducted field experiments to determine the impact of TNT in the soil on plants as a possible means to detect landmines. All the leaf clip readings were done using a spectrometer to determine reflection and absorption of light at one micrometre intervals between 350 to 2500 micrometre. Laboratory analysis such as UPLC qTOF MS indicated that the TNT have an influence on the plants. Several indices such as Modified Red Edge Normalized Difference Vegetation Index (mNDVI705), Red Edge Position (REP) and Moisture Stress Index (MSI) did not show any significant differences between control plants and experimental plants with different TNT concentrations. Groth’s pattern matching algorithm designed to match several photographs of the same part of the universe. A set of triangles using dominant stars are created for each photograph and matched using an error band. If the selected triangles from the two photographs fit within the error band, then they are from the same section of the universe. Bands for the Pléiades instruments were simulated using the data from the spectrometer for each plant. The reflectance value of the band and the normalised midpoint wavelength of each Pléiades band were used to construct the triangles. The control plant triangle is then matched with the experimental plant and if the triangles do not match, then the effect of TNT on the plant is significant. The initial results with the control plants and experimental plants are positive. DA - 2023-08 DB - ResearchSpace DP - CSIR J1 - 31st International Cartographic Conference, Cape Town, South Africa, 13 - 18 August 2023 KW - Detection KW - Clearing operations KW - Landmines KW - Reflectance KW - Simulation LK - https://researchspace.csir.co.za PY - 2023 T1 - Groth’s algorithm to detect the possible presence of landmines using changes in the reflection of plants TI - Groth’s algorithm to detect the possible presence of landmines using changes in the reflection of plants UR - http://hdl.handle.net/10204/13140 ER - en_ZA
dc.identifier.worklist 27030 en_US


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