Conference Paper/Proceeding/Abstract 414 views 124 downloads
Domain-Invariant Crop Type Mapping Using Transformer-Based Time-Frequency Feature Extraction and Adaptation for Unlabeled Target Regions
Shruti Nair,
Vasile Palade,
Sara Sharifzadeh 
,
Charley Hill-Butler
,
Charley Hill-Butler
2024 International Conference on Machine Learning and Applications (ICMLA), Pages: 1593 - 1598
Swansea University Author:
Sara Sharifzadeh
-
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DOI (Published version): 10.1109/icmla61862.2024.00246
Abstract
Domain-Invariant Crop Type Mapping Using Transformer-Based Time-Frequency Feature Extraction and Adaptation for Unlabeled Target Regions
| Published in: | 2024 International Conference on Machine Learning and Applications (ICMLA) |
|---|---|
| ISBN: | 979-8-3503-7489-6 979-8-3503-7488-9 |
| ISSN: | 1946-0740 1946-0759 |
| Published: |
IEEE
2024
|
| Online Access: |
Check full text
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa68669 |
| Keywords: |
Training, Time-frequency analysis, Adaptation models, Accuracy, Time series analysis, Crops, Transformers, Feature extraction, Monitoring, Remote sensing |
|---|---|
| College: |
Faculty of Science and Engineering |
| Funders: |
Global Challenge Research Fund (Coventry University) |
| Start Page: |
1593 |
| End Page: |
1598 |