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HYPERSPECTRAL IMAGE COMPRESSION

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.

Identiferoai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/608744
Date10 1900
CreatorsHallidy, William H., Jr., Doerr, Michael
ContributorsSystems & Processes Engineering Corporation
PublisherInternational Foundation for Telemetering
Source SetsUniversity of Arizona
Languageen_US
Detected LanguageEnglish
Typetext, Proceedings
RightsCopyright © International Foundation for Telemetering
Relationhttp://www.telemetry.org/

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