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, Turkey, 16 - 19 May 2015, pp.2166-2169 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/siu.2015.7130302
  • City: Malatya
  • Country: Turkey
  • Page Numbers: pp.2166-2169
  • Keywords: component, hyperspectral, spectral angle mapper, long-wave infrared, local gradiant features
  • Yıldız Technical University Affiliated: No

Abstract

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.