• DocumentCode
    291428
  • Title

    Information content of compressed remotely sensed data

  • Author

    Brown, R.J. ; Manore, M.J. ; Bedard, D. ; Hepburn, C.

  • Author_Institution
    Canada Centre for Remote Sensing, Ottawa, Ont., Canada
  • Volume
    1
  • fYear
    1994
  • fDate
    8-12 Aug 1994
  • Firstpage
    320
  • Abstract
    Information is the end requirement from remotely sensed data. However, normally the extraction of this information starts with an original (uncompressed) image which has arrived by courier on some form of digital media. However, as the use of remotely sensed data advances towards more operational use the need for the electronic transfer of data is increasing to meet operational time constraints. In order to reduce the time for data transmission, and consequently costs, considerations are being given to mechanisms to compress data with and without loss. In this study data from the Advanced Very High Resolution Radiometer (AVHRR), and the European Space Agency (ESA) European Remote Sensing Satellite (ERS-1) were compressed to different levels (up to 50 times compression). This paper will present the results of the assessment of the information content of these data for crop condition monitoring (AVHRR) and ice navigation (ERS-1) as a function of compression ratio
  • Keywords
    agriculture; data compression; geophysical signal processing; geophysical techniques; image coding; microwave measurement; oceanographic techniques; optical information processing; radar applications; radiometry; remote sensing; remote sensing by radar; sea ice; AVHRR; Advanced Very High Resolution Radiometer; ERS-1; ESA; agriculture vegetation; compressed remotely sensed data; compression ratio; crop condition monitoring; data compression; geophysical measurement technique; ice navigation; image coding; information content; land surface; microwave radiometry; optical IR infrared radiometry; radar; satellite remote sensing; sea ice ocean; Costs; Crops; Data communication; Data mining; Image coding; Propagation losses; Radiometry; Remote monitoring; Satellite broadcasting; Time factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
  • Conference_Location
    Pasadena, CA
  • Print_ISBN
    0-7803-1497-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.1994.399115
  • Filename
    399115