dc.contributor.author | Iscan, Yeliz | |
dc.contributor.author | Albora, Ali Muhittin | |
dc.date.accessioned | 2021-03-03T14:52:24Z | |
dc.date.available | 2021-03-03T14:52:24Z | |
dc.identifier.citation | Iscan Y., Albora A. M. , "Determination of Structure Boundaries in Archaeological Ruins by Using Cellular Neural Networks (CNN)", IEEE 16th Signal Processing and Communications Applications Conference, Aydın, Türkiye, 20 - 22 Nisan 2008, ss.38-39 | |
dc.identifier.other | vv_1032021 | |
dc.identifier.other | av_3be2a5e7-4dba-4eed-8239-d99017c9d906 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12627/44206 | |
dc.identifier.uri | https://doi.org/10.1109/siu.2008.4632546 | |
dc.description.abstract | In this study De-noising of Magnetic anomaly maps from Archeological areas are applied Cellular Neural Networks(CNN) in order to determine the structure boundaries. It is important that border detection and seperated anomaly of archaeological ruins in Archeo-geophysical studies. Study area is Sivas-Altinyayla Region which is located in the east of Basoren village. Magnetic map obtained from Magnetic studies on the ruins of Hittite civilization in this area is applied CNN. Aim of this study is determination boundary the ruins of Hittite civilization by detection border and denoising of anomaly map. | |
dc.language.iso | eng | |
dc.subject | TELEKOMÜNİKASYON | |
dc.subject | Tıp | |
dc.subject | Sağlık Bilimleri | |
dc.subject | Bilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği | |
dc.subject | Sinyal İşleme | |
dc.subject | Mühendislik ve Teknoloji | |
dc.subject | Klinik Tıp | |
dc.subject | Klinik Tıp (MED) | |
dc.subject | GÖRÜNTÜLEME BİLİMİ VE FOTOĞRAF TEKNOLOJİSİ | |
dc.subject | Mühendislik, Bilişim ve Teknoloji (ENG) | |
dc.subject | Mühendislik | |
dc.subject | MÜHENDİSLİK, ELEKTRİK VE ELEKTRONİK | |
dc.title | Determination of Structure Boundaries in Archaeological Ruins by Using Cellular Neural Networks (CNN) | |
dc.type | Bildiri | |
dc.contributor.department | İstanbul Üniversitesi , , | |
dc.contributor.firstauthorID | 30914 | |