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DATA COMPRESSION FOR EARTH RESOURCES SATELLITES
| dc.contributor.author | May, C. L. | |
| dc.contributor.author | Spencer, D. J. | |
| dc.date.accessioned | 2016-04-15T18:15:24Z | en |
| dc.date.available | 2016-04-15T18:15:24Z | en |
| dc.date.issued | 1972-10 | en |
| dc.identifier.issn | 0884-5123 | en |
| dc.identifier.issn | 0074-9079 | en |
| dc.identifier.uri | http://hdl.handle.net/10150/605531 | en |
| dc.description | International Telemetering Conference Proceedings / October 10-12, 1972 / International Hotel, Los Angeles, California | en_US |
| dc.description.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. | |
| dc.description.sponsorship | International Foundation for Telemetering | en |
| dc.language.iso | en_US | en |
| dc.publisher | International Foundation for Telemetering | en |
| dc.relation.url | http://www.telemetry.org/ | en |
| dc.rights | Copyright © International Foundation for Telemetering | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | |
| dc.title | DATA COMPRESSION FOR EARTH RESOURCES SATELLITES | en_US |
| dc.type | text | en |
| dc.type | Proceedings | en |
| dc.contributor.department | TRW Systems | en |
| dc.identifier.journal | International Telemetering Conference Proceedings | en |
| dc.description.collectioninformation | 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. | en |
| refterms.dateFOA | 2018-09-11T08:55:11Z | |
| html.description.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. |
