2025-02-23T00:20:21-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22uajuacgovua-article-266%22&qt=morelikethis&rows=5
2025-02-23T00:20:21-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22uajuacgovua-article-266%22&qt=morelikethis&rows=5
2025-02-23T00:20:21-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-23T00:20:21-05:00 DEBUG: Deserialized SOLR response
Classification of BPG-Based Lossy Compressed Noisy Images

Classification of BPG-Based Lossy Compressed Noisy Images

Acquired remote sensing images can be noisy. This fact has to be taken into account in their lossy compression and classification. In particular, a specific noise filtering effect is usually observed due to lossy compression and this can be positive for classification. Classification can be also inf...

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Bibliographic Details
Main Authors: Proskura, Galina, Naumenko, Victoria, Lukin, Volodymyr
Format: Article
Language:English
Published: Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine 2024
Subjects:
image lossy compression
optimal operation point
BPG encoder
classification transform
Online Access:https://ujrs.org.ua/ujrs/article/view/266
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