Persistent Link:
http://hdl.handle.net/10150/607450
Title:
COMPRESSION FOR STORAGE AND TRANSMISSION OF LASER RADAR MEASUREMENTS
Author:
Dagher, Joseph C.; Marcellin, Michael W.; Neifeld, Mark A.
Affiliation:
University of Arizona
Issue Date:
2003-10
Rights:
Copyright © International Foundation for Telemetering
Collection Information:
Proceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.
Publisher:
International Foundation for Telemetering
Journal:
International Telemetering Conference Proceedings
Abstract:
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 show that, for lossy compression, three-dimensional volumes compress more efficiently than two-dimensional (2D) images. In fact, our error metric suggests that accumulating more than 9 range images in one volume before compression yields up to a 99% improvement in compression performance over 2D compression.
Keywords:
Compression; Laser RADAR; Volumetric Imagery; Range Imagery
Sponsors:
International Foundation for Telemetering
ISSN:
0884-5123; 0074-9079
Additional Links:
http://www.telemetry.org/

Full metadata record

DC FieldValue Language
dc.language.isoen_USen
dc.titleCOMPRESSION FOR STORAGE AND TRANSMISSION OF LASER RADAR MEASUREMENTSen_US
dc.contributor.authorDagher, Joseph C.en
dc.contributor.authorMarcellin, Michael W.en
dc.contributor.authorNeifeld, Mark A.en
dc.contributor.departmentUniversity of Arizonaen
dc.date.issued2003-10en
dc.rightsCopyright © International Foundation for Telemeteringen
dc.description.collectioninformationProceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.en
dc.publisherInternational Foundation for Telemeteringen
dc.description.abstractWe 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 show that, for lossy compression, three-dimensional volumes compress more efficiently than two-dimensional (2D) images. In fact, our error metric suggests that accumulating more than 9 range images in one volume before compression yields up to a 99% improvement in compression performance over 2D compression.en
dc.subjectCompressionen
dc.subjectLaser RADARen
dc.subjectVolumetric Imageryen
dc.subjectRange Imageryen
dc.description.sponsorshipInternational Foundation for Telemeteringen
dc.identifier.issn0884-5123en
dc.identifier.issn0074-9079en
dc.identifier.urihttp://hdl.handle.net/10150/607450en
dc.identifier.journalInternational Telemetering Conference Proceedingsen
dc.typetexten
dc.typeProceedingsen
dc.relation.urlhttp://www.telemetry.org/en
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