Yi, DeweiSu, JinyaChen, Wen Hua2022-06-292022-06-292021-10-07Yi, 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.2021.06.0720925-2312ORCID: /0000-0003-1702-9136/work/96970863ORCID: /0000-0002-3121-7208/work/112496163https://hdl.handle.net/2164/18762Funding 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/N006712/1.124646010engObject detectionImage recognitionGaussian mixture modelsRegion proposal networkQA75 Electronic computers. Computer scienceComputer Science ApplicationsCognitive NeuroscienceArtificial IntelligenceSTFC - Science and Technology Facilities CouncilST/N006852/1ST/N006712/1QA75Journal article10.1016/j.neucom.2021.06.072https://www.scopus.com/pages/publications/85109592968