Hyperspectral image compression approaches: Opportunities, challenges, and future directions: discussion

Rui Dusselaar, Manoranjan Paul

Research output: Contribution to journalComment/debate

10 Citations (Scopus)

Abstract

This paper establishes a review of the recent study in the field of hyperspectral (HS) image compression approaches. Recently, image compression techniques have achieved significant advances from diverse types of coding standards/approaches. HS image compression requires an unconventional coding technique because of its unique, multiple-dimensional structure. The data redundancy exists in both inter-band and intra-band methods. The survey summarizes current literature in inter- and intra-band compression methods. The challenges, opportunities, and future research possibilities regarding HS image compression are further discussed. The experimental results are also provided for validity and applicability of the existing HS image compression techniques.

Original languageEnglish
Pages (from-to)2170-2180
Number of pages11
JournalJournal of the Optical Society of America A: Optics and Image Science, and Vision
Volume34
Issue number12
DOIs
Publication statusPublished - Dec 2017

Fingerprint Dive into the research topics of 'Hyperspectral image compression approaches: Opportunities, challenges, and future directions: discussion'. Together they form a unique fingerprint.

  • Cite this