Local Spectral Gradient Based Gas Detection in LWIR Hyperspectral Images

Cesmeci D., KARACA A. C., ERTÜRK A., ERTÜRK S.

23nd Signal Processing and Communications Applications Conference (SIU), Malatya, Türkiye, 16 - 19 Mayıs 2015, ss.2166-2169 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/siu.2015.7130302
  • Basıldığı Şehir: Malatya
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.2166-2169
  • Anahtar Kelimeler: component, hyperspectral, spectral angle mapper, long-wave infrared, local gradiant features
  • Yıldız Teknik Üniversitesi Adresli: Hayır

Özet

In this work, the use of local gradient features of spectral signatures with spectral angle mapper for target detection in long wave infrared hyperspectral images is proposed. The proposed method is tested for gas detection and experimental results show that utilizing local gradient features improve the performance.