Ir-UNet : Irregular Segmentation U-Shape Network for Wheat Yellow Rust Detection by UAV Multispectral Imagery
| dc.contributor.author | Zhang, Tianxiang | |
| dc.contributor.author | Xu, Zhiyong | |
| dc.contributor.author | Su, Jinya | |
| dc.contributor.author | Yang, Zhifang | |
| dc.contributor.author | Liu, Cunjia | |
| dc.contributor.author | Chen, Wen-Hua | |
| dc.contributor.author | Li, Jiangyun | |
| dc.contributor.institution | University of Aberdeen.Computing Science | en |
| dc.contributor.institution | University of Aberdeen.Machine Learning | en |
| dc.date.accessioned | 2022-04-25T12:08:00Z | |
| dc.date.available | 2022-04-25T12:08:00Z | |
| dc.date.issued | 2021-09-28 | |
| dc.description | Funding: This work was supported by the Fundamental Research Funds for the China Central Universities of USTB (FRF-DF-19-002), Scientific and Technological Innovation Foundation of Shunde Graduate School, USTB: BK20BE014. This work was also partially supported by UK Science and Technology Facilities Council (STFC) under Newton fund with Grant ST/V00137X/1. | en |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 20 | |
| dc.format.extent | 11187559 | |
| dc.identifier | 215299318 | |
| dc.identifier | 299f3306-9a7a-4e4a-be9f-c55eeb9d4c1d | |
| dc.identifier | 000707559300001 | |
| dc.identifier | 85116255820 | |
| dc.identifier.citation | Zhang, T, Xu, Z, Su, J, Yang, Z, Liu, C, Chen, W-H & Li, J 2021, 'Ir-UNet : Irregular Segmentation U-Shape Network for Wheat Yellow Rust Detection by UAV Multispectral Imagery', Remote Sensing, vol. 13, no. 19, 3892. https://doi.org/10.3390/rs13193892 | en |
| dc.identifier.doi | 10.3390/rs13193892 | |
| dc.identifier.iss | 19 | en |
| dc.identifier.issn | 2072-4292 | |
| dc.identifier.other | ORCID: /0000-0002-3121-7208/work/112496167 | |
| dc.identifier.uri | https://hdl.handle.net/2164/18480 | |
| dc.identifier.vol | 13 | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | Remote Sensing | en |
| dc.subject | deep learning | en |
| dc.subject | Ir-UNet | en |
| dc.subject | crop disease detection | en |
| dc.subject | multispectral imagery | en |
| dc.subject | unmanned aerial vehicle (UAV) | en |
| dc.subject | LEAF CHLOROPHYLL CONTENT | en |
| dc.subject | VEGETATION INDEX | en |
| dc.subject | CANOPY | en |
| dc.subject | REFLECTANCE | en |
| dc.subject | PARAMETERS | en |
| dc.subject | LOSSES | en |
| dc.subject | QA75 Electronic computers. Computer science | en |
| dc.subject.lcc | QA75 | en |
| dc.title | Ir-UNet : Irregular Segmentation U-Shape Network for Wheat Yellow Rust Detection by UAV Multispectral Imagery | en |
| dc.type | Journal article | en |
Files
Original bundle
1 - 1 of 1
- Name:
- Zhang_etal_Ir_UNet_irregular_VOR.pdf
- Size:
- 10.67 MB
- Format:
- Adobe Portable Document Format
