Investigating the Impact of the Training Set Size on Deep Learning-Powered Hyperspectral Unmixing.
Lukasz TulczyjewJakub NalepaPublished in: IGARSS (2021)
Keyphrases
- hyperspectral
- deep learning
- training set size
- hyperspectral images
- remote sensing
- hyperspectral data
- infrared
- multispectral
- unsupervised learning
- training set
- hyperspectral imagery
- satellite images
- image data
- machine learning
- target detection
- mental models
- information content
- training data
- class distribution
- step size
- change detection
- generalization error
- supervised learning
- input image
- upper bound
- active learning
- pairwise
- decision trees