Persistent Link:
http://hdl.handle.net/10150/605531
Title:
DATA COMPRESSION FOR EARTH RESOURCES SATELLITES
Author:
May, C. L.; Spencer, D. J.
Affiliation:
TRW Systems
Issue Date:
1972-10
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:
This paper concerns an information-preserving data technique which is applicable to multi-spectral imagery such as that obtained by earth-resources satellites. The requirements for data compression in such missions is discussed and a rationale is presented for the use of distortion-free information-preserving compression. The selected compression technique involves the use of the spectralspatial-delta-interleave (SSDI) algorithm, a form of DPCM, to eliminate gross spectral and spatial redundancies. This reduced data is then coded for transmission using either the Huffman or the Rice coding algorithms. The coding algorithms have been simulated using a portion of frame 3698 taken during the Apollo S065 experiment and, the results are presented. A parametric study presents the compression achieved by the SSDI-Rice algorithm as a function of block size and split-pixel mode used. Implementation considerations are also given.
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.titleDATA COMPRESSION FOR EARTH RESOURCES SATELLITESen_US
dc.contributor.authorMay, C. L.en
dc.contributor.authorSpencer, D. J.en
dc.contributor.departmentTRW Systemsen
dc.date.issued1972-10en
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.abstractThis paper concerns an information-preserving data technique which is applicable to multi-spectral imagery such as that obtained by earth-resources satellites. The requirements for data compression in such missions is discussed and a rationale is presented for the use of distortion-free information-preserving compression. The selected compression technique involves the use of the spectralspatial-delta-interleave (SSDI) algorithm, a form of DPCM, to eliminate gross spectral and spatial redundancies. This reduced data is then coded for transmission using either the Huffman or the Rice coding algorithms. The coding algorithms have been simulated using a portion of frame 3698 taken during the Apollo S065 experiment and, the results are presented. A parametric study presents the compression achieved by the SSDI-Rice algorithm as a function of block size and split-pixel mode used. Implementation considerations are also given.en
dc.description.sponsorshipInternational Foundation for Telemeteringen
dc.identifier.issn0884-5123en
dc.identifier.issn0074-9079en
dc.identifier.urihttp://hdl.handle.net/10150/605531en
dc.identifier.journalInternational Telemetering Conference Proceedingsen
dc.typetexten
dc.typeProceedingsen
dc.relation.urlhttp://www.telemetry.org/en
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