Disaster Intensity-Based Selection of Training Samples for Remote Sensing Building Damage Classification.
Luis MoyaChristian GeißMasakazu HashimotoErick MasShunichi KoshimuraGünter StrunzPublished in: IEEE Trans. Geosci. Remote. Sens. (2021)
Keyphrases
- training samples
- remote sensing
- multispectral
- change detection
- remote sensing images
- feature space
- training set
- supervised learning
- multi spectral images
- satellite images
- learning algorithm
- high resolution
- hyperspectral
- test sample
- image analysis
- remote sensing imagery
- training data
- remotely sensed
- high dimensional
- hyperspectral images
- image processing
- face images
- land cover
- remote sensing data
- remotely sensed data
- land cover classification
- image registration
- pattern recognition
- satellite data
- remote sensed images
- representative samples
- automatic image registration
- hyperspectral remote sensing
- hyperspectral imagery
- classification method
- support vector machine
- neural network
- climate change
- unsupervised learning
- image data
- support vector
- high quality
- decision trees
- data mining
- database