Comparison of Arithmetic Coding and Prefix Coding with the Ccsds Lossless Compression Recommendation for Satellite Data

نویسندگان

  • Bormin Huang
  • Alok Ahuja
  • Hung-Lung Huang
  • Timothy J. Schmit
  • Roger W. Heymann
چکیده

Multispectral and hyperspectral imagery is used in a wide variety of remote sensing applications such as global environmental monitoring, mapping, charting and land use planning (Vaughn et al. 1995). The evolution of sensor technology has dramatically improved the quality of multispectral imagery through increase in spectral, spatial and radiometric resolutions of earth observations. This is accompanied with a substantial increase in data volumes. Compression techniques are thus beneficial for data transmission and storage.

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تاریخ انتشار 2004