• DocumentCode
    721093
  • Title

    Remote Sensing Image Compression: A Review

  • Author

    Shichao Zhou ; Chenwei Deng ; Baojun Zhao ; Yatong Xia ; Qisheng Li ; Zhenzhong Chen

  • Author_Institution
    Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
  • fYear
    2015
  • fDate
    20-22 April 2015
  • Firstpage
    406
  • Lastpage
    410
  • Abstract
    With the increasing spatial and temporal resolutions of acquired remote sensing (RS) images, effective image compression is becoming more and more important. RS image compression technologies have been extensively studied in the past a few decades, and various algorithms have been developed accordingly. In this paper, we provide an overview of practically deployed RS image compression approaches, including predictive coding and transform coding approaches that have been adopted in different satellite systems. In addition, some newly derived RS image compression methods are discussed, with highlights on the new trends of the on-going design and developments of RS image compression.
  • Keywords
    data compression; image coding; remote sensing; transform coding; predictive coding; remote sensing image compression; satellite systems; spatial resolutions; temporal resolutions; transform coding; Discrete cosine transforms; Discrete wavelet transforms; Image coding; Remote sensing; Satellites; Standards; Transform coding; Remote sensing; compressed sensing; image compression; predictive coding; task-driven coding; transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Big Data (BigMM), 2015 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-8687-3
  • Type

    conf

  • DOI
    10.1109/BigMM.2015.16
  • Filename
    7153923