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Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan

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Published in:Remote Sensing in Ecology and Conservation
Format: Online Article RSS Article
Published: 2026
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container_title Remote Sensing in Ecology and Conservation
description
discipline_display Natural Sciences
discipline_facet Natural Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:22128
institution FRELIP
journal_source_facet Remote Sensing in Ecology and Conservation
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan
Zoology
Natural Sciences — Life Sciences
Natural Sciences
sub_discipline_display Natural Sciences — Life Sciences
sub_discipline_facet Natural Sciences — Life Sciences
subject_display Zoology
Natural Sciences — Life Sciences
Natural Sciences
Zoology
Natural Sciences — Life Sciences
Natural Sciences
subject_facet Zoology
Natural Sciences — Life Sciences
Natural Sciences
title Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan
title_auth Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan
title_full Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan
title_fullStr Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan
title_full_unstemmed Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan
title_short Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan
title_sort deep learning‐based super‐resolution reconstruction and improved yolov9 for efficient benthos detection: a case study at lake hamana, japan
topic Zoology
Natural Sciences — Life Sciences
Natural Sciences
url https://zslpublications.onlinelibrary.wiley.com/doi/10.1002/rse2.70066?af=R