Yıl: 2020 Cilt: 13 Sayı: 2 Sayfa Aralığı: 217 - 225 Metin Dili: İngilizce İndeks Tarihi: 01-12-2020

Clutter Learning Based LS Method for Buried Target Detection in GPR Images

Öz:
A regularized version of the least squares (LS) target detection method iscombined with the subspace-based clutter learning for buried target detectionin ground penetrating radar (GPR) images. The LS method is used to estimatethe next A-scans from previously observed A-scans which are assumed tobelong to the clutter component. Generally, A-scans used in the initial stageare accepted as target-free for the LS to work correctly. However, this is notguaranteed and if the first observed A-scan samples contain any targetinformation, LS method will fail. In this paper, the clutter information isretrieved via robust principal component analysis (RPCA) as a preprocessingstage and used in the LS estimation of the actual A-scan. Thus, for A-scanscontaining target information, LS method will provide an increase in theestimation error indicating target presence at this location. Moreover, due tothe regularization, the proposed method is more robust to noise caused by theirregularities of the soil.
Anahtar Kelime:

YNR Görüntülerinde Gömülü Hedef Tespitini için Kargaşa Öğrenme Tabanlı LS Metodu

Öz:
En küçük kareler (EKK) hedef tespit yönteminin düzenleştirilmiş versiyonu ile alt uzay tabanlı kargaşa giderme, yere nüfuz eden radar (YNR) görüntülerinde gömülü hedef tespiti için birleştirilmiştir. EKK yöntemi geçmişte gözlenmiş A-taramaları kullanarak, gelecek A-taramayı tahmin etmeye çalışır ve gözlemlenmiş A-taramanın kargaşa bileşenine ait olduğu varsayımı mevcuttur. Genellikle, EKK’nin doğru çalışabilmesi için, başlangıç aşamasında gözlemlenen A-taramalarda hedefe ait olmadığı kabul edilir. Fakat bu her zaman doğru bir varsayım değildir ve ilk gözlemlenen Ataramalarda hedef bileşeni mevcutsa, EKK yöntemi başarısız olacaktır. Bu çalışmada, ön adım olarak kargaşa bilgisi gürbüz temel bileşen analizi (GTBA) yöntemi ile çıkartılmıştır ve bu bilgi EKK’nin gelecek A-taramayı tahmini için kullanılmıştır. Böylece, hedef bilgisi içeren A-taramalarda EKK yönteminin tahmin hatası artacağından, bu A-taramalarda bölgesinde hedefin olduğunu gösterecektir. Ayrıca, düzenlileştirme işleminden dolayı, önerilen yöntem yüzey düzensizliklerinden dolayı meydana gelen gürültüye karşı daha gürbüz olacaktır.
Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
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APA kumlu d, Erer I (2020). Clutter Learning Based LS Method for Buried Target Detection in GPR Images. , 217 - 225.
Chicago kumlu deniz,Erer Isin Clutter Learning Based LS Method for Buried Target Detection in GPR Images. (2020): 217 - 225.
MLA kumlu deniz,Erer Isin Clutter Learning Based LS Method for Buried Target Detection in GPR Images. , 2020, ss.217 - 225.
AMA kumlu d,Erer I Clutter Learning Based LS Method for Buried Target Detection in GPR Images. . 2020; 217 - 225.
Vancouver kumlu d,Erer I Clutter Learning Based LS Method for Buried Target Detection in GPR Images. . 2020; 217 - 225.
IEEE kumlu d,Erer I "Clutter Learning Based LS Method for Buried Target Detection in GPR Images." , ss.217 - 225, 2020.
ISNAD kumlu, deniz - Erer, Isin. "Clutter Learning Based LS Method for Buried Target Detection in GPR Images". (2020), 217-225.
APA kumlu d, Erer I (2020). Clutter Learning Based LS Method for Buried Target Detection in GPR Images. Havacılık ve Uzay Teknolojileri Dergisi, 13(2), 217 - 225.
Chicago kumlu deniz,Erer Isin Clutter Learning Based LS Method for Buried Target Detection in GPR Images. Havacılık ve Uzay Teknolojileri Dergisi 13, no.2 (2020): 217 - 225.
MLA kumlu deniz,Erer Isin Clutter Learning Based LS Method for Buried Target Detection in GPR Images. Havacılık ve Uzay Teknolojileri Dergisi, vol.13, no.2, 2020, ss.217 - 225.
AMA kumlu d,Erer I Clutter Learning Based LS Method for Buried Target Detection in GPR Images. Havacılık ve Uzay Teknolojileri Dergisi. 2020; 13(2): 217 - 225.
Vancouver kumlu d,Erer I Clutter Learning Based LS Method for Buried Target Detection in GPR Images. Havacılık ve Uzay Teknolojileri Dergisi. 2020; 13(2): 217 - 225.
IEEE kumlu d,Erer I "Clutter Learning Based LS Method for Buried Target Detection in GPR Images." Havacılık ve Uzay Teknolojileri Dergisi, 13, ss.217 - 225, 2020.
ISNAD kumlu, deniz - Erer, Isin. "Clutter Learning Based LS Method for Buried Target Detection in GPR Images". Havacılık ve Uzay Teknolojileri Dergisi 13/2 (2020), 217-225.