Research on Real-Time Automatic Picking of Ground-Penetrating Radar Image Features by Using Machine...
Research on Real-Time Automatic Picking of Ground-Penetrating Radar Image Features by Using Machine Learning
About this item
Full title
Author / Creator
Qiu, Zhi , Zeng, Junyuan , Tang, Wenhui , Yang, Houcheng , Lu, Junjun and Zhao, Zuoxi
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
Subjects
More information
Scope and Contents
Contents
Hard foreign objects such as bricks, wood, metal materials, and plastics in orchard soil can affect the operational safety of garden machinery. Ground-Penetrating Radar (GPR) is widely used for the detection of hard foreign objects in soil due to its advantages of non-destructive detection (NDT), easy portability, and high efficiency. At present, t...
Alternative Titles
Full title
Research on Real-Time Automatic Picking of Ground-Penetrating Radar Image Features by Using Machine Learning
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_fdc16864cb7247a395d57c656a50ea57
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fdc16864cb7247a395d57c656a50ea57
Other Identifiers
ISSN
2311-7524
E-ISSN
2311-7524
DOI
10.3390/horticulturae8121116
