dc.contributor.author | Yi, Dewei | |
dc.contributor.author | Su, Jinya | |
dc.contributor.author | Chen, Wen Hua | |
dc.date.accessioned | 2022-06-29T23:07:52Z | |
dc.date.available | 2022-06-29T23:07:52Z | |
dc.date.issued | 2021-10-07 | |
dc.identifier | 196025436 | |
dc.identifier | 88c41d40-a117-4eff-ac20-a416d61791ff | |
dc.identifier | 85109592968 | |
dc.identifier | 85109592968 | |
dc.identifier.citation | Yi , D , Su , J & Chen , W H 2021 , ' Probabilistic Faster R-CNN with Stochastic Region Proposing : Towards Object Detection and Recognition in Remote Sensing Imagery ' , Neurocomputing , vol. 459 , pp. 290-301 . https://doi.org/10.1016/j.neucom.2021.06.072 | en |
dc.identifier.issn | 0925-2312 | |
dc.identifier.other | ORCID: /0000-0003-1702-9136/work/96970863 | |
dc.identifier.other | ORCID: /0000-0002-3121-7208/work/112496163 | |
dc.identifier.uri | https://hdl.handle.net/2164/18762 | |
dc.description | Funding Information: This work was supported by the U.K. Science and Technology Facilities Council (STFC) Enabling Wide Area Persistent Remote Sensing for Agriculture Applications by Developing and Coordinating Multiple Heterogeneous Platforms programme and Integrating Advanced Earth Observation and Environmental Information for Sustainable Management of Crop Pests and Diseases programme under grant number ST/N006852/1 and ST/N006712/1. | en |
dc.format.extent | 12 | |
dc.format.extent | 4646010 | |
dc.language.iso | eng | |
dc.relation.ispartof | Neurocomputing | en |
dc.subject | Object detection | en |
dc.subject | Image recognition | en |
dc.subject | Gaussian mixture models | en |
dc.subject | Region proposal network | en |
dc.subject | QA75 Electronic computers. Computer science | en |
dc.subject | Computer Science Applications | en |
dc.subject | Cognitive Neuroscience | en |
dc.subject | Artificial Intelligence | en |
dc.subject | STFC - Science and Technology Facilities Council | en |
dc.subject | ST/N006852/1 | en |
dc.subject | ST/N006712/1 | en |
dc.subject.lcc | QA75 | en |
dc.title | Probabilistic Faster R-CNN with Stochastic Region Proposing : Towards Object Detection and Recognition in Remote Sensing Imagery | en |
dc.type | Journal article | en |
dc.contributor.institution | University of Aberdeen.Computing Science | en |
dc.contributor.institution | University of Aberdeen.Machine Learning | en |
dc.description.status | Peer reviewed | en |
dc.identifier.doi | https://doi.org/10.1016/j.neucom.2021.06.072 | |
dc.date.embargoedUntil | 2022-06-30 | |
dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85109592968&partnerID=8YFLogxK | en |
dc.identifier.vol | 459 | en |