A Probabilistic Method for the Classification of Hyperspectral Images
24th Signal Processing and Communication Application Conference (SIU), Zonguldak, Türkiye, 16 - 19 Mayıs 2016, ss.905-908, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Cilt numarası:
- Doi Numarası: 10.1109/siu.2016.7495887
- Basıldığı Şehir: Zonguldak
- Basıldığı Ülke: Türkiye
- Sayfa Sayıları: ss.905-908
- İstanbul Üniversitesi Adresli: Evet
Özet
In this study a supervised classification and dimensionality reduction method for hyperspectral images is proposed. For this purpose, using probabilistic principal component analysis (PPCA), dimensionality reduction is performed and a Gaussian mixture model (GMM) is built. Alongside this mixture model, spatial information is also included into the classification process by taking advantage of pixel neighborhoods.