Explaining the Absorption Features of Deep Learning Hyperspectral Classification Models.
Arthur VandenhoekeLennert AntsonGuillem BallesterosJonathan CrabbéMichal ShimoniPublished in: IGARSS (2023)
Keyphrases
- classification models
- deep learning
- hyperspectral
- unsupervised feature learning
- feature set
- hyperspectral imagery
- remote sensing
- feature selection
- multispectral
- decision trees
- training data
- feature vectors
- unsupervised learning
- feature extraction
- hyperspectral images
- infrared
- hyperspectral data
- spectral bands
- pattern recognition
- feature subset
- satellite images
- machine learning
- image segmentation
- image data
- feature space
- mutual information
- co occurrence