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Hoofed animal detection in UAV thermal images using Balanced Random Forest and CNN features

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Bibliographic Details
Published in:Reports on Geodesy and Geoinformatics
Format: Online Article RSS Article
Published: 2025
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container_title Reports on Geodesy and Geoinformatics
description
discipline_display Geography
discipline_facet Geography
format Online Article
RSS Article
genre Journal Article
id rss_article:70809
institution FRELIP
journal_source_facet Reports on Geodesy and Geoinformatics
publishDate 2025
publishDateSort 2025
record_format rss_article
spellingShingle Hoofed animal detection in UAV thermal images using Balanced Random Forest and CNN features
Geography
General
Geography
sub_discipline_display General
sub_discipline_facet General
subject_display Geography
General
Geography
Geography
General
Geography
subject_facet Geography
General
Geography
title Hoofed animal detection in UAV thermal images using Balanced Random Forest and CNN features
title_auth Hoofed animal detection in UAV thermal images using Balanced Random Forest and CNN features
title_full Hoofed animal detection in UAV thermal images using Balanced Random Forest and CNN features
title_fullStr Hoofed animal detection in UAV thermal images using Balanced Random Forest and CNN features
title_full_unstemmed Hoofed animal detection in UAV thermal images using Balanced Random Forest and CNN features
title_short Hoofed animal detection in UAV thermal images using Balanced Random Forest and CNN features
title_sort hoofed animal detection in uav thermal images using balanced random forest and cnn features
topic Geography
General
Geography
url https://sciendo.com/article/10.2478/rgg-2025-0011