Isorange pairwise orthogonal transform

Ian Blanes, Miguel Hernandez-Cabronero, Francesc Auli-Llinas, Joan Serra-Sagrista, Michael W. Marcellin

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


Spectral transforms are tools commonly employed in multi- and hyperspectral data compression to decorrelate images in the spectral domain. The pairwise orthogonal transform (POT) is one such transform that has been specifically devised for resource-constrained contexts similar to those found on board satellites or airborne sensors. Combining the POT with a 2-D coder yields an efficient compressor for multi- and hyperspectral data. However, a drawback of the original POT is that its dynamic range expansion, i.e., the increase in bit depth of transformed images, is not constant, which may cause problems with hardware implementations. Additionally, the dynamic range expansion is often too large to be compatible with the current 2-D standard CCSDS 122.0-B-1. This paper introduces the isorange POT, a derived transform that has a small and limited dynamic range expansion, compatible with CCSDS 122.0-B-1 in almost all scenarios. Experimental results suggest that the proposed transform achieves lossy coding performance close to that of the original transform. For lossless coding, the original POT and the proposed isorange POT achieve virtually the same performance.

Original languageEnglish (US)
Article number6994759
Pages (from-to)3361-3372
Number of pages12
JournalIEEE Transactions on Geoscience and Remote Sensing
Issue number6
StatePublished - Jun 1 2015


  • Limited dynamic range expansion
  • onboard multi- and hyperspectral image coding
  • pairwise orthogonal transform (POT)
  • progressive lossy-to-lossless

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • General Earth and Planetary Sciences


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