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A combined approach to pixel-wise classification of satellite images based on LBP, pseudocolor features, and XGBOOST

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Published in:Радіоелектронні і комп'ютерні системи
Format: Online Article RSS Article
Published: 2025
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container_title Радіоелектронні і комп'ютерні системи
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
RSS Article
genre Journal Article
id rss_article:7400
institution FRELIP
journal_source_facet Радіоелектронні і комп'ютерні системи
publishDate 2025
publishDateSort 2025
record_format rss_article
spellingShingle A combined approach to pixel-wise classification of satellite images based on LBP, pseudocolor features, and XGBOOST
— — — — — Computer Engineering
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display — — — — — Computer Engineering
Computer Science & IT
Engineering & Technology
— — — — — Computer Engineering
Computer Science & IT
Engineering & Technology
subject_facet — — — — — Computer Engineering
Computer Science & IT
Engineering & Technology
title A combined approach to pixel-wise classification of satellite images based on LBP, pseudocolor features, and XGBOOST
title_auth A combined approach to pixel-wise classification of satellite images based on LBP, pseudocolor features, and XGBOOST
title_full A combined approach to pixel-wise classification of satellite images based on LBP, pseudocolor features, and XGBOOST
title_fullStr A combined approach to pixel-wise classification of satellite images based on LBP, pseudocolor features, and XGBOOST
title_full_unstemmed A combined approach to pixel-wise classification of satellite images based on LBP, pseudocolor features, and XGBOOST
title_short A combined approach to pixel-wise classification of satellite images based on LBP, pseudocolor features, and XGBOOST
title_sort a combined approach to pixel-wise classification of satellite images based on lbp, pseudocolor features, and xgboost
topic — — — — — Computer Engineering
Computer Science & IT
Engineering & Technology
url https://nti.khai.edu/ojs/index.php/reks/article/view/reks.2025.4.14