Extending the CCSDS recommendation for image data compression for remote sensing scenarios

Fernando Garcia-Vilchez, Joan Serra-Sagrista

Research output: Contribution to journalArticleResearchpeer-review

36 Citations (Scopus)

Abstract

This paper presents prominent extensions that have been proposed for the Consultative Committee for Space Data Systems Recommendation for Image Data Compression (CCSDS-122-B-1). Thanks to the proposed extensions, the Recommendation gains several important featured advantages: It allows any number of spatial wavelet decomposition levels; it provides scalability by quality, position, resolution, and component; and it supports multi-/hyper-/ultraspectral data coding, allowing a spectral decorrelation if requested. As a consequence, compression performance is notably improved with respect to the Recommendation for a large variety of remote sensing images, both monoband and multi-/hyper-/ultraspectral images. Reported results for hyperspectral data suggest that our proposal is competitive with the JPEG2000 standard. © 2009 IEEE.
Original languageEnglish
Article number16
Pages (from-to)3431-3445
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume47
DOIs
Publication statusPublished - 1 Oct 2009

Keywords

  • Data compression
  • Image coding
  • Multidimensional coding
  • Standards

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