Estimating the Area of Applicability of Remote Sensing-Based Machine Learning Models with Limited Training Data.
Hanna MeyerEdzer J. PebesmaPublished in: IGARSS (2021)
Keyphrases
- remote sensing
- machine learning models
- training data
- change detection
- remote sensing images
- machine learning algorithms
- multispectral
- remote sensing imagery
- remote sensing data
- image processing
- high resolution
- hyperspectral
- spam filtering
- image analysis
- satellite images
- high spatial resolution
- learning algorithm
- decision trees
- machine learning approaches
- satellite imagery
- image fusion
- machine learning
- satellite data
- automatic image registration
- hyperspectral images
- hyperspectral remote sensing
- remote sensed images
- digital image analysis
- data sets
- learning models
- land cover
- training set
- image segmentation
- unsupervised learning
- supervised learning
- classification accuracy
- pattern recognition