Watch the Dallas Symposium LIVE, and fundraiser auction
Ticket proceeds support mindat.org! - click here...
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Wei, Chuyang, Zhou, Xiren, Liu, Shikang, Chen, Huanhuan (2024) Enhanced Anomaly Detection in GPR Data by Combining Spatial and Dynamic Information. IEEE Transactions on Geoscience and Remote Sensing, 62. doi:10.1109/tgrs.2024.3504715

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleEnhanced Anomaly Detection in GPR Data by Combining Spatial and Dynamic Information
JournalIEEE Transactions on Geoscience and Remote Sensing
AuthorsWei, ChuyangAuthor
Zhou, XirenAuthor
Liu, ShikangAuthor
Chen, HuanhuanAuthor
Year2024Volume62
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
DOIdoi:10.1109/tgrs.2024.3504715Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID17757986Long-form Identifiermindat:1:5:17757986:0
GUID0
Full ReferenceWei, Chuyang, Zhou, Xiren, Liu, Shikang, Chen, Huanhuan (2024) Enhanced Anomaly Detection in GPR Data by Combining Spatial and Dynamic Information. IEEE Transactions on Geoscience and Remote Sensing, 62. doi:10.1109/tgrs.2024.3504715
Plain TextWei, Chuyang, Zhou, Xiren, Liu, Shikang, Chen, Huanhuan (2024) Enhanced Anomaly Detection in GPR Data by Combining Spatial and Dynamic Information. IEEE Transactions on Geoscience and Remote Sensing, 62. doi:10.1109/tgrs.2024.3504715
In(2024) IEEE Transactions on Geoscience and Remote Sensing Vol. 62. Institute of Electrical and Electronics Engineers (IEEE)

See Also

These are possibly similar items as determined by title/reference text matching only.

Liu, Shikang, Zhou, Xiren, Chen, Huanhuan (2024) From Data to D3 Model: Adaptive Subsurface Anomaly Detection in GPR Data. IEEE Transactions on Geoscience and Remote Sensing, 62. 1-12 doi:10.1109/tgrs.2024.3389009
Zhou, Xiren, Liu, Shikang, Chen, Ao, Chen, Qiuju, Xiong, Fang, Wang, Yumin, Chen, Huanhuan (2023) Underground Anomaly Detection in GPR Data by Learning in the C3 Model Space. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-11 doi:10.1109/tgrs.2023.3326737
Zhou, Xiren, Chen, Huanhuan, Hao, Tong (2019) Efficient Detection of Buried Plastic Pipes by Combining GPR and Electric Field Methods. IEEE Transactions on Geoscience and Remote Sensing, 57 (6) 3967-3979 doi:10.1109/tgrs.2018.2889248
Zhou, Xiren, Chen, Huanhuan, Li, Jinlong (2018) An Automatic GPR B-Scan Image Interpreting Model. IEEE Transactions on Geoscience and Remote Sensing, 56 (6) 3398-3412 doi:10.1109/tgrs.2018.2799586
Lyu, Derui, Chen, Lyuzhou, Ban, Taiyu, Wang, Xiangyu, Zhu, Qinrui, Zhou, Xiren, Chen, Huanhuan (2024) Leveraging Multisource Label Learning for Underground Object Recognition. IEEE Transactions on Geoscience and Remote Sensing, 62. doi:10.1109/tgrs.2024.3446029
Liu, Shikang; Zhou, Xiren; Chen, Huanhuan (2025) Multiscale Temporal Dynamic Learning for Time Series Classification. IEEE Transactions on Knowledge and Data Engineering, 37 (6). doi:10.1109/tkde.2025.3542799
Zhou, Xiren, Chen, Qiuju, Jiang, Bingbing, Chen, Huanhuan (2022) An Underground Pipeline Mapping Method Based on Fusion of Multisource Data. IEEE Transactions on Geoscience and Remote Sensing, 60. 1-11 doi:10.1109/tgrs.2022.3200153
Du, Jinpeng, Zhou, Xiren, Chen, Huanhuan (2024) Enhanced Change Detection in Unregistered Images With CNNs and Attention GANs. IEEE Geoscience and Remote Sensing Letters, 21. 1-5 doi:10.1109/lgrs.2024.3434730
Wang, Xiangyu, Chen, Lyuzhou, Ban, Taiyu, Lyu, Derui, Guan, Yifeng, Wu, Xingyu, Zhou, Xiren, Chen, Huanhuan (2023) Accurate Label Refinement From Multiannotator of Remote Sensing Data. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-13 doi:10.1109/tgrs.2023.3241402
Liu, Haijun, Su, Xi, Shen, Xiangfei, Zhou, Xichuan (2024) MSNet: Self-Supervised Multiscale Network With Enhanced Separation Training for Hyperspectral Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing, 62. doi:10.1109/tgrs.2024.3411009
Ren, Caijun, Wang, Xiangyu, Gao, Jian, Zhou, Xiren, Chen, Huanhuan (2021) Unsupervised Change Detection in Satellite Images With Generative Adversarial Network. IEEE Transactions on Geoscience and Remote Sensing, 59 (12) 10047-10061 doi:10.1109/tgrs.2020.3043766
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are Β© OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: August 22, 2025 15:47:32
Go to top of page