International Telemetering Conference Proceedings / October 25-28, 1999 / Riviera Hotel and Convention Center, Las Vegas, Nevada / Systems & Processes Engineering Corporation (SPEC) compared compression and decompression algorithms and developed optimal forms of lossless and lossy compression for hyperspectral data. We examined the relationship between compression-induced distortion and additive noise, determined the effect of errors on the compressed data, and showed that the data could separate targets from clutter after more than 50:1 compression.
Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/608744 |
Date | 10 1900 |
Creators | Hallidy, William H., Jr., Doerr, Michael |
Contributors | Systems & Processes Engineering Corporation |
Publisher | International Foundation for Telemetering |
Source Sets | University of Arizona |
Language | en_US |
Detected Language | English |
Type | text, Proceedings |
Rights | Copyright © International Foundation for Telemetering |
Relation | http://www.telemetry.org/ |
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