The use of low-bit depth approaches for band ordering in hyperspectral image compression Hiperspektral Görüntü Sikiştirmada Bant Siralama için Düşuk Bit-Derinliǧi Yaklaşimlarinin Kullanimi

KARACA A. C., Gullu M. K.

25th Signal Processing and Communications Applications Conference, SIU 2017, Antalya, Turkey, 15 - 18 May 2017 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/siu.2017.7960451
  • City: Antalya
  • Country: Turkey
  • Keywords: 1-bit transform, band ordering, Hyperspectral image compression, law-depth representation
  • Yıldız Technical University Affiliated: No

Abstract

© 2017 IEEE.Hyperspectral imaging is a popular research topic and it has wide range of application areas. Despite all the advantages, because its huge amount of data, compression is required. In some compression methods, performing a band-ordering as a preprocessing step increases compression performance. In this paper, 1-bit transform (1BT), two-bit transform (2BT), constrained 1-bit transform (C-1BT) and weighted constrained 1-bit transform (WC-1BT) based low bit-depth band-ordering approaches are proposed to reduce the computational complexity of band ordering methods. Performances of the proposed approaches are evaluated in five different hyperspectral images and experimental results are investigated.