Using UAV-Based Multispectral Imagery, Data-Driven Models, and Spatial Cross-Validation for Corn Grain Yield Prediction.
Patrick KilleenIluju KiringaTet Hin YeapPaula BrancoPublished in: ICDM (Workshops) (2023)
Keyphrases
- cross validation
- multispectral
- model selection
- data driven
- remote sensing data
- image data
- cross validated
- multispectral images
- hyperparameters
- remote sensing images
- support vector
- remote sensing
- variable selection
- prediction model
- unseen data
- training set
- spatial information
- information criterion
- land cover
- spatial resolution
- probabilistic model
- spectral characteristics
- hyperspectral imagery
- remotely sensed data
- spectral images
- multispectral satellite images
- hyperspectral images
- hyperspectral
- satellite images
- image analysis
- generalization error
- hyperspectral data
- digital elevation models
- prediction accuracy
- active learning
- machine learning
- multispectral imaging
- neural network