Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Self-supervised segmentation of large-scale blasted heap block from UAV image: addressing block adhesion and imbalanced samples

Saved in:
Bibliographic Details
Published in:Complex & Intelligent Systems
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1868553618150391808
collection WordPress RSS
FRELIP Feed Integration
container_title Complex & Intelligent Systems
description
discipline_display Computer Science
discipline_facet Computer Science
format Online Article
RSS Article
genre Journal Article
id rss_article:78041
institution FRELIP
journal_source_facet Complex & Intelligent Systems
last_indexed 2026-06-20T21:39:49.249Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Self-supervised segmentation of large-scale blasted heap block from UAV image: addressing block adhesion and imbalanced samples
Computer Science
General
Computer Science
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science
General
Computer Science
subject_facet Computer Science
General
Computer Science
title Self-supervised segmentation of large-scale blasted heap block from UAV image: addressing block adhesion and imbalanced samples
title_alt Segmentación autosupervisada de bloques de voladura a gran escala a partir de imágenes de UAV: abordando la adhesión de bloques y muestras desbalanceadas
Segmentation auto-supervisée de gros blocs de déblais miniers à partir d'images UAV : traitement de l'adhésion des blocs et des échantillons déséquilibrés
Segmentação auto-supervisionada de blocos de desmonte em grande escala a partir de imagem de VANT: abordando adesão de blocos e amostras desbalanceadas
title_auth Self-supervised segmentation of large-scale blasted heap block from UAV image: addressing block adhesion and imbalanced samples
title_es_txt Segmentación autosupervisada de bloques de voladura a gran escala a partir de imágenes de UAV: abordando la adhesión de bloques y muestras desbalanceadas
title_fr_txt Segmentation auto-supervisée de gros blocs de déblais miniers à partir d'images UAV : traitement de l'adhésion des blocs et des échantillons déséquilibrés
title_full Self-supervised segmentation of large-scale blasted heap block from UAV image: addressing block adhesion and imbalanced samples
title_fullStr Self-supervised segmentation of large-scale blasted heap block from UAV image: addressing block adhesion and imbalanced samples
title_full_unstemmed Self-supervised segmentation of large-scale blasted heap block from UAV image: addressing block adhesion and imbalanced samples
title_pt_txt Segmentação auto-supervisionada de blocos de desmonte em grande escala a partir de imagem de VANT: abordando adesão de blocos e amostras desbalanceadas
title_short Self-supervised segmentation of large-scale blasted heap block from UAV image: addressing block adhesion and imbalanced samples
title_sort self-supervised segmentation of large-scale blasted heap block from uav image: addressing block adhesion and imbalanced samples
topic Computer Science
General
Computer Science
url https://link.springer.com/article/10.1007/s40747-026-02354-9