Analysis of CCSDS-ILDC for Remote Sensing Data Compression1

نویسندگان

  • JOAN SERRA-SAGRISTA
  • CRISTINA FERNANDEZ
  • FERNANDO GARCIA
  • FRANCESC AULI
چکیده

This paper deals with the encoding of high resolution images for remote sensing and geographic information systems applications. We are currently investigating the suitability of several still image coding techniques for this kind of applications. We present results for an adapted and modified version of the CCSDS-ILDC technique. In addition to evaluate its compression factor and quality of recovery with respect to the latest still image coding standard JPEG2000, we also consider whether this technique may fulfill the particular functionalities requested by remote sensing users. Key-Words: Lossy Data Compression, CCSDS-ILDC, JPEG2000, DWT, Remote Sensing, High Resolution Images, Geographic Information Systems

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تاریخ انتشار 2004