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dc.contributor.authorS. A., Abdul Shukor
dc.contributor.authorHavenderpal, Singh
dc.contributor.authorNurush Syamimie, Mahmud
dc.contributor.authorH., Ali
dc.contributor.authorA. F., Ahmad Zaidi
dc.contributor.authorM. S., Zanar Azalan
dc.contributor.authorT. S., Tengku Amran
dc.contributor.authorM. R., Ahmad
dc.contributorFaculty of Electrical Engineering Technology, Universiti Malaysia Perlis (UniMAP)en_US
dc.contributorMalaysian Nuclear Agencyen_US
dc.creatorS. A., Abdul Shukor
dc.date.accessioned2022-11-10T00:57:03Z
dc.date.available2022-11-10T00:57:03Z
dc.date.issued2022
dc.identifier.citationJournal of Engineering Research and Education, vol.14, 2022, pages 25-33en_US
dc.identifier.issn1823-2981 (print)
dc.identifier.issn2232-1098 (online)
dc.identifier.urihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/76847
dc.descriptionLink to publisher's homepage at http://jere.unimap.edu.myen_US
dc.description.abstractGround Penetrating Radar (GPR) is very beneficial for underground object scanning and detection. It utilises radar pulses as the signal, hence it able to penetrate surfaces in obtaining the underneath information without disturbing and destructing the ground. However, its radargram output in hyperbolic signal are very challenging to be analysed. Thus, suitable algorithm has to be designed and developed to interpret the data. This work highlights on the usage of drop-flow algorithm in detecting important features of the hyperbolic signal. Previous study has shown that these features is promising in understanding and further, reconstructing the GPR data. Results show that the features extracted from the hyperbolic signal able to be identified for further processing, which is necessary for visualization purpose.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.subject.otherDrop-flow algorithmen_US
dc.subject.otherGPRen_US
dc.subject.otherUnderground object detection and reconstructionen_US
dc.titleFeature extraction for underground object reconstruction from Ground Penetrating Radar (GPR) dataen_US
dc.typeArticleen_US
dc.contributor.urlshazmin@unimap.edu.myen_US


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