Prediction and compression of multi-temporal hyperspectral images using luminance transform Farkli zamanlarda alinan hiperspektral görüntülerin işiklilik dönüşümü ile tahmini ve sikiştirilmasi

KARACA A. C., Gullu M. K.

26th IEEE Signal Processing and Communications Applications Conference, SIU 2018, İzmir, Türkiye, 2 - 05 Mayıs 2018, ss.1-4 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/siu.2018.8404753
  • Basıldığı Şehir: İzmir
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.1-4
  • Anahtar Kelimeler: Hyperspectral imaging, Image compression, Luminance transform, Temporal correlation
  • Yıldız Teknik Üniversitesi Adresli: Hayır

Özet

© 2018 IEEE.Correlations between spatial and spectral neighborhoods are utilized for compression of hyperspectral images. For multiple images taken at different times belonging to the same region, better compression performances can be obtained by exploiting temporal correlation. In this paper, multiple luminance transform based compression method is proposed for multi-temporal hyperspectral images. In the first step of the proposed method, target image is predicted from reference image using a linear transform. In the second step, difference between predicted and target image is compressed using 3D-DCT method. Prediction and compression performances of the proposed method are compared with the methods in the literature in terms of signal-to-noise ratio and entropy.