NASA Technical Reports Server (NTRS) 19950008181: Planning/scheduli... | |
by NASA Technical Reports Server (NTRS) | |
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The enormous size of the data holding and the complexity | |
of the information system resulting from the EOS system | |
pose several challenges to computer scientists, one of | |
which is data archival and dissemination. More than | |
ninety percent of the data holdings of NASA is in the | |
form of images which will be accessed by users across the | |
computer networks. Accessing the image data in its full | |
resolution creates data traffic problems. Image browsing | |
using a lossy compression reduces this data traffic, as | |
well as storage by factor of 30-40. Of the several image | |
compression techniques, VQ is most appropriate for this | |
application since the decompression of the VQ compressed | |
images is a table lookup process which makes minimal | |
additional demands on the user's computational resources. | |
Lossy compression of image data needs expert level | |
knowledge in general and is not straightforward to use. | |
This is especially true in the case of VQ. It involves | |
the selection of appropriate codebooks for a given data | |
set and vector dimensions for each compression ratio, | |
etc. A planning and scheduling system is described for | |
using the VQ compression technique in the data access and | |
ingest of raw satellite data. | |
Date Published: 2016-10-07 07:09:58 | |
Identifier: NASA_NTRS_Archive_19950008181 | |
Item Size: 14022940 | |
Language: english | |
Media Type: texts | |
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NASA Technical Reports Server (NTRS);... | |
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