gummfd

Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi

1300-1884 1304-4915

Gazi Üniversitesi

10.17341/gazimmfd.479086

Evrişimsel sinir ağı ve iki-boyutlu karmaşık gabor dönüşümü kullanılarak hiperspektral görüntü sınıflandırma

https://orcid.org/0000-0003-1374-1417

Hanbay

Kazım

BİNGÖL ÜNİVERSİTESİ, MÜHENDİSLİK-MİMARLIK FAKÜLTESİ

10 25 2019

35 1 443 456 11 05 2018 04 22 2019

1986

Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi

Bu çalışmada 2-boyutlu karmaşık Gabor filtrelemeve derin evrişimsel sinir ağları kullanılarak yeni bir hiperspektral görüntüsınıflandırma yöntemi önerilmiştir. Derin öğrenilen ve Gabor özellik çıkarmametodolojileri giriş hiperspekral örnekler üzerinde eş zamanlı olarakgerçekleştirilmiştir. Görüntülerin Gabor özellikleri çoklu yönelim vefrekanslarda hesaplanır. Sonra derin özellikler ve Gabor özellikleri daha güçlüve ayırt edici özellik vektörü elde etmek için birleştirilir. Hibrit özellikvektörü hiperspektral görüntü sınıflandırmak için softmax sınıflandırıcıyagiriş olarak kullanılır. İki hiperspektral veri seti üzerinde gerçekleştirilendeneyler önerilen yöntemin bazı geleneksel yöntemlerden daha iyi sınıflandırmaperformansı elde edebildiğini göstermiştir.

Hiperspektral görüntü sınıflandırma derin öğrenme

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