Effects of hyperspectral image compression methods on classification Hiperspektral görüntü sikiştirma yöntemlerinin siniflandirma üzerindeki etkileri

Danisman M., KARACA A. C., Can E., URHAN O., 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.2018.8404766
  • Basıldığı Şehir: İzmir
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.1-4
  • Anahtar Kelimeler: Classification analysis, Hyperspectral image compression
  • Yıldız Teknik Üniversitesi Adresli: Hayır

Özet

© 2018 IEEE.Because of having large data size in hyperspectral imaging, compression becomes an important necessity in terms of the transmission and storage of the data. There are several compression approaches proposed in the literature, and it is not enough to use only quality metrics in comparison. Depending on the application area, different compression methods can provide advantages to each other. In this paper, performances of PCA+JPEG2000, DWT+JPEG2000, 3DTARP, 3DTARP and JPEG2000 compression methods, which are frequently used in literature, are evaluated based on their classification performances.