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Ground-based surveillance and classification radar for wildlife protection

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dc.contributor.author Berndt, Robert J
dc.contributor.author Wabeke, Leon O
dc.contributor.author Van Rensburg, Vanessa
dc.contributor.author Potgieter, Pieter F
dc.contributor.author Kloke, Kevin H
dc.date.accessioned 2024-03-19T07:24:42Z
dc.date.available 2024-03-19T07:24:42Z
dc.date.issued 2023-11
dc.identifier.citation Berndt, R.J., Wabeke, L.O., Van Rensburg, V., Potgieter, P.F. & Kloke, K.H. 2023. Ground-based surveillance and classification radar for wildlife protection. http://hdl.handle.net/10204/13639 . en_ZA
dc.identifier.isbn 978-1-6654-8278-3
dc.identifier.uri DOI: 10.1109/RADAR54928.2023.10371030
dc.identifier.uri http://hdl.handle.net/10204/13639
dc.description.abstract Wildlife poaching has become an increasingly large problem over the last decade in southern Africa. There have consequently been worrying declines in rhinoceros population levels. As part of a multi-year effort to investigate and develop technology to aid in the prevention of poaching activities, a C-band phased array radar, with integrated ground target classification capability, has been produced. In a field trial that took place in the Kruger National Park Game Reserve in South Africa, it successfully detected and classified human and animal movement at ranges of up to 10 km. The misclassification rate of humans was less than 7%, and non-human movement, predominantly from animals and vehicles, was incorrectly classified as human 3.8% of the time. This shows that modern radar, without assistance from other sensors, has great potential to contribute towards the preservation of scarce wildlife resources. en_US
dc.format Abstract en_US
dc.language.iso en en_US
dc.relation.uri https://www.radar2023.org/ en_US
dc.relation.uri https://ieeexplore.ieee.org/document/10371030/ en_US
dc.source International Radar Conference (RADAR), Sydney, Australia, 6-10 November 2023 en_US
dc.subject Phasedarray radar en_US
dc.subject Micro-Doppler en_US
dc.subject Detection en_US
dc.subject Classification en_US
dc.subject Poaching en_US
dc.subject Surveillance en_US
dc.title Ground-based surveillance and classification radar for wildlife protection en_US
dc.type Conference Presentation en_US
dc.description.pages 5 en_US
dc.description.note ©2023 IEEE. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website: https://ieeexplore.ieee.org/document/10371030/ en_US
dc.description.cluster Defence and Security en_US
dc.description.impactarea Radar and EW Systems en_US
dc.identifier.apacitation Berndt, R. J., Wabeke, L. O., Van Rensburg, V., Potgieter, P. F., & Kloke, K. H. (2023). Ground-based surveillance and classification radar for wildlife protection. http://hdl.handle.net/10204/13639 en_ZA
dc.identifier.chicagocitation Berndt, Robert J, Leon O Wabeke, Vanessa Van Rensburg, Pieter F Potgieter, and Kevin H Kloke. "Ground-based surveillance and classification radar for wildlife protection." <i>International Radar Conference (RADAR), Sydney, Australia, 6-10 November 2023</i> (2023): http://hdl.handle.net/10204/13639 en_ZA
dc.identifier.vancouvercitation Berndt RJ, Wabeke LO, Van Rensburg V, Potgieter PF, Kloke KH, Ground-based surveillance and classification radar for wildlife protection; 2023. http://hdl.handle.net/10204/13639 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Berndt, Robert J AU - Wabeke, Leon O AU - Van Rensburg, Vanessa AU - Potgieter, Pieter F AU - Kloke, Kevin H AB - Wildlife poaching has become an increasingly large problem over the last decade in southern Africa. There have consequently been worrying declines in rhinoceros population levels. As part of a multi-year effort to investigate and develop technology to aid in the prevention of poaching activities, a C-band phased array radar, with integrated ground target classification capability, has been produced. In a field trial that took place in the Kruger National Park Game Reserve in South Africa, it successfully detected and classified human and animal movement at ranges of up to 10 km. The misclassification rate of humans was less than 7%, and non-human movement, predominantly from animals and vehicles, was incorrectly classified as human 3.8% of the time. This shows that modern radar, without assistance from other sensors, has great potential to contribute towards the preservation of scarce wildlife resources. DA - 2023-11 DB - ResearchSpace DP - CSIR J1 - International Radar Conference (RADAR), Sydney, Australia, 6-10 November 2023 KW - Phasedarray radar KW - Micro-Doppler KW - Detection KW - Classification KW - Poaching KW - Surveillance LK - https://researchspace.csir.co.za PY - 2023 SM - 978-1-6654-8278-3 T1 - Ground-based surveillance and classification radar for wildlife protection TI - Ground-based surveillance and classification radar for wildlife protection UR - http://hdl.handle.net/10204/13639 ER - en_ZA
dc.identifier.worklist 27590 en_US


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