Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery
- Submitting institution
-
University of Lincoln
- Unit of assessment
- 6 - Agriculture, Food and Veterinary Sciences
- Output identifier
- 41512
- Type
- D - Journal article
- DOI
-
10.1016/j.jag.2017.12.012
- Title of journal
- International Journal of Applied Earth Observation and Geoinformation
- Article number
- -
- First page
- 43
- Volume
- 67
- Issue
- -
- ISSN
- 0303-2434
- Open access status
- Deposit exception
- Month of publication
- January
- Year of publication
- 2018
- URL
-
https://doi.org/10.1016/j.jag.2017.12.012
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
7
- Research group(s)
-
-
- Citation count
- 34
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
