A Lightweight Neural Network for the Real-Time Dehazing of Tidal Flat UAV Images Using a Contrastive...
A Lightweight Neural Network for the Real-Time Dehazing of Tidal Flat UAV Images Using a Contrastive Learning Strategy
About this item
Full title
Author / Creator
Yang, Denghao , Zhu, Zhiyu , Ge, Huilin , Qiu, Haiyang , Wang, Hui and Xu, Cheng
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
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More information
Scope and Contents
Contents
In the maritime environment, particularly within tidal flats, the frequent occurrence of sea fog significantly impairs the quality of images captured by unmanned aerial vehicles (UAVs). This degradation manifests as a loss of detail, diminished contrast, and altered color profiles, which directly impact the accuracy and effectiveness of the monitor...
Alternative Titles
Full title
A Lightweight Neural Network for the Real-Time Dehazing of Tidal Flat UAV Images Using a Contrastive Learning Strategy
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_638a0f26fd9e44ecbabfacfd064bed77
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_638a0f26fd9e44ecbabfacfd064bed77
Other Identifiers
ISSN
2504-446X
E-ISSN
2504-446X
DOI
10.3390/drones8070314
