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Semantic Segmentation of Multispectral Satellite Images Using Residual Convolutional Networks

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Bibliographic Details
Published in:International Journal of Image, Graphics and Signal Processing
Format: Online Article RSS Article
Published: 2026
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container_title International Journal of Image, Graphics and Signal Processing
description
discipline_display Technology & Engineering
discipline_facet Technology & Engineering
format Online Article
RSS Article
genre Journal Article
id rss_article:26078
institution FRELIP
journal_source_facet International Journal of Image, Graphics and Signal Processing
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Semantic Segmentation of Multispectral Satellite Images Using Residual Convolutional Networks
Image and Video Processing
Technology & Engineering — Computing
Technology & Engineering
sub_discipline_display Technology & Engineering — Computing
sub_discipline_facet Technology & Engineering — Computing
subject_display Image and Video Processing
Technology & Engineering — Computing
Technology & Engineering
Image and Video Processing
Technology & Engineering — Computing
Technology & Engineering
subject_facet Image and Video Processing
Technology & Engineering — Computing
Technology & Engineering
title Semantic Segmentation of Multispectral Satellite Images Using Residual Convolutional Networks
title_auth Semantic Segmentation of Multispectral Satellite Images Using Residual Convolutional Networks
title_full Semantic Segmentation of Multispectral Satellite Images Using Residual Convolutional Networks
title_fullStr Semantic Segmentation of Multispectral Satellite Images Using Residual Convolutional Networks
title_full_unstemmed Semantic Segmentation of Multispectral Satellite Images Using Residual Convolutional Networks
title_short Semantic Segmentation of Multispectral Satellite Images Using Residual Convolutional Networks
title_sort semantic segmentation of multispectral satellite images using residual convolutional networks
topic Image and Video Processing
Technology & Engineering — Computing
Technology & Engineering
url https://www.mecs-press.org/ijigsp/ijigsp-v18-n2/v18n2-2.html