Remote Sensing Based Binary Classification of Maize. Dealing with Residual Autocorrelation in Sparse Sample Situations.
Mario GilcherThorsten RufChristoph EmmerlingThomas UdelhovenPublished in: Remote. Sens. (2019)
Keyphrases
- remote sensing
- binary classification
- multi class
- support vector
- learning problems
- cost sensitive
- change detection
- multispectral
- remote sensing images
- high resolution
- support vector machine
- image analysis
- hyperspectral
- satellite images
- remote sensing imagery
- multi label
- higher order
- remote sensing data
- image processing
- ensemble methods
- generalization error
- satellite data
- automatic image registration
- class imbalance
- sample size
- prediction accuracy
- pattern recognition
- data analysis
- machine learning algorithms
- non stationary
- high dimensional
- hyperspectral images
- land cover
- high quality
- machine learning
- image segmentation
- computer vision