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Land Use and Land Cover Classification Using Transfer Learning and Temporal Convolutional Networks on Low-Resolution Remote Sensing Images

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Bibliographic Details
Published in:VFAST Transactions on Software Engineering
Format: Online Article RSS Article
Published: 2026
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container_title VFAST Transactions on Software Engineering
description
discipline_display Software
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format Online Article
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genre Journal Article
id rss_article:106561
institution FRELIP
journal_source_facet VFAST Transactions on Software Engineering
last_indexed 2026-07-26T02:01:08.348Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Land Use and Land Cover Classification Using Transfer Learning and Temporal Convolutional Networks on Low-Resolution Remote Sensing Images
Software
General
Software
sub_discipline_display General
sub_discipline_facet General
subject_display Software
General
Software
Software
General
Software
subject_facet Software
General
Software
title Land Use and Land Cover Classification Using Transfer Learning and Temporal Convolutional Networks on Low-Resolution Remote Sensing Images
title_auth Land Use and Land Cover Classification Using Transfer Learning and Temporal Convolutional Networks on Low-Resolution Remote Sensing Images
title_full Land Use and Land Cover Classification Using Transfer Learning and Temporal Convolutional Networks on Low-Resolution Remote Sensing Images
title_fullStr Land Use and Land Cover Classification Using Transfer Learning and Temporal Convolutional Networks on Low-Resolution Remote Sensing Images
title_full_unstemmed Land Use and Land Cover Classification Using Transfer Learning and Temporal Convolutional Networks on Low-Resolution Remote Sensing Images
title_short Land Use and Land Cover Classification Using Transfer Learning and Temporal Convolutional Networks on Low-Resolution Remote Sensing Images
title_sort land use and land cover classification using transfer learning and temporal convolutional networks on low-resolution remote sensing images
topic Software
General
Software
url https://vfast.org/journals/index.php/VTSE/article/view/2486