2025-02-23T11:30:41-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22irk-123456789-29751%22&qt=morelikethis&rows=5
2025-02-23T11:30:41-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22irk-123456789-29751%22&qt=morelikethis&rows=5
2025-02-23T11:30:41-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-23T11:30:41-05:00 DEBUG: Deserialized SOLR response
Методы сжатия и восстановление спектральных изображений в реальном масштабе времени в космической системе оптико-электронного наблюдения
One of the ways to increase transfer rates of spectral images from satellites optoelectronic surveillance is to use data compression and recovery on the ground the information sector. However, existing compression methods do not meet modern requirements for information transfer in the channel in...
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Main Author: | |
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Format: | Article |
Language: | Russian |
Published: |
Інститут проблем моделювання в енергетиці ім. Г.Є. Пухова НАН України
2011
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Series: | Моделювання та інформаційні технології |
Online Access: | http://dspace.nbuv.gov.ua/handle/123456789/29751 |
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Summary: | One of the ways to increase transfer rates of spectral images from satellites optoelectronic
surveillance is to use data compression and recovery on the ground the
information sector. However, existing compression methods do not meet modern
requirements for information transfer in the channel in real time. The article suggests
ways of constructing methods of compression and recovery in real time based on
orthogonal transformations. |
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