Compression of LADAR imagery

Joseph C. Dagher, Michael W. Marcellin, Mark A. Neifeld

Research output: Contribution to journalConference articlepeer-review


We develop novel methods for compressing volumetric imagery that has been generated by single platform (mobile) range sensors. We exploit the correlation structure inherent in multiple views in order to improve compression efficiency. We evaluate the performance of various two-dimensional (2D) compression schemes on the traditional 2D range representation. We then introduce a three-dimensional (3D) representation of the range measurements and show that, for lossless compression, 3D volumes compress more efficiently than 2D images by a factor of 60%.

Original languageEnglish (US)
Pages (from-to)1193-1203
Number of pages11
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5150 II
StatePublished - 2003
EventVisual Communications and Image Processing 2003 - Lugano, Switzerland
Duration: Jul 8 2003Jul 11 2003


  • Compression
  • Laser RADAR
  • Range imagery
  • Volumetric imagery

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


Dive into the research topics of 'Compression of LADAR imagery'. Together they form a unique fingerprint.

Cite this