Classification of Buried Objects Using Deep Learning on GPR Data
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Tarih
2023
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/embargoedAccess
Özet
In this study, we present the results of two-class
identification of buried objects using convolutional neural
networks on real GPR dataset with 1080 images. The dataset
includes GPR images of clutter objects and surrogate mines.
While clutter class consist of stones, cans, bottles, nails and
similar objects, the surrogate mine class consists of metallic and
non-metallic anti-personnel and anti-tank surrogate mines. We
obtained nearly 100% classification results for two-class
classification.
Açıklama
Anahtar Kelimeler
Ground penetrating radar, identification, convolutional neural network
Kaynak
Proceedings of the 2023 IEEE International Conference on Advanced Systems and Emergent Technologies, IC_ASET 2023
WoS Q DeÄŸeri
Scopus Q DeÄŸeri
N/A
