HYPERSPECTRAL IMAGE VISUALIZATION BASED ON HIGH DYNAMIC RANGE IMAGING


Suer S., Koc H., ERTÜRK S.

22nd IEEE Signal Processing and Communications Applications Conference (SIU), Trabzon, Turkey, 23 - 25 April 2014, pp.1168-1170 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/siu.2014.6830442
  • City: Trabzon
  • Country: Turkey
  • Page Numbers: pp.1168-1170
  • Kocaeli University Affiliated: Yes

Abstract

Hyperspectral imaging captures a high number of spectrally narrow bands and provides advantages for image analysis applications such as identification and classification in particular. However, for the visual inspection of hyperspectral images, the data is conventionally converted to a standard color image format. It is important that as much detail and data as possible is retained during this conversion. A novel hyperspectral visualization approach based on high dynamic range imaging is presented in this paper. The proposed approach retains visual detail and provides a superior result in terms of visual quality.