Combining Image Restoration with Deep Detectors for Improved Target Detection in GPR

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dc.contributor.authorKayacan, Yavuz Emre
dc.contributor.authorÖzdoǧan, Kaan
dc.contributor.authorÇolak, Mehmet Utku
dc.contributor.authorAydin, Özae
dc.contributor.authorTuran, Ahmet Enes
dc.contributor.authorErer, Isin
dc.date.accessioned2025-03-09T10:57:33Z
dc.date.available2025-03-09T10:57:33Z
dc.date.issued2024
dc.departmentİstanbul Beykent Üniversitesi
dc.description47th International Conference on Telecommunications and Signal Processing, TSP 2024 -- 10 July 2024 through 12 July 2024 -- Virtual, Online -- 201450
dc.description.abstractThe target detection performance of GPR systems suffers from the noisy and partially lost data encountered in field studies. Since detection may benefit from the restoration of the data prior to detection procedure, a two-step approach is proposed. Firstly, the data is either denoised or recovered with networks appropriate to the nature of the task, then detection is performed by YOLOv5 or YOLOv10. Detection results obtained with the proposed approach confirm performance increase in terms of MAP values compared to the sole use of YOLOv5 or YOLOv10. © 2024 IEEE.
dc.description.sponsorshipTürkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK, (120E234)
dc.identifier.doi10.1109/TSP63128.2024.10605931
dc.identifier.endpage306
dc.identifier.isbn979-835036559-7
dc.identifier.scopus2-s2.0-85201147474
dc.identifier.scopusqualityN/A
dc.identifier.startpage302
dc.identifier.urihttps://doi.org/10.1109/TSP63128.2024.10605931
dc.identifier.urihttps://hdl.handle.net/20.500.12662/4910
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof2024 47th International Conference on Telecommunications and Signal Processing, TSP 2024
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250310
dc.subjectburied target detection
dc.subjectground penetrating radar (GPR)
dc.subjectimage denoising
dc.subjectimage restoration
dc.subjectmissing data recovery
dc.subjectYOLOv10
dc.subjectYOLOv5
dc.titleCombining Image Restoration with Deep Detectors for Improved Target Detection in GPR
dc.typeConference Object

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