Spectral-Spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification.
Marcel BengsNils GessertWiebke LaffersDennis EggertStephan WestermannNina A. MüllerAndreas O. H. GerstnerChristian BetzAlexander SchlaeferPublished in: CoRR (2020)
Keyphrases
- hyperspectral
- hyperspectral data
- hyperspectral images
- hyperspectral imagery
- hyperspectral remote sensing images
- hyperspectral image classification
- pixel classification
- spectral signatures
- hyperspectral remote sensing
- multispectral
- band selection
- remote sensing
- remote sensing data
- infrared
- land cover classification
- spatial frequency
- hyperspectral imaging
- spectral bands
- image data
- spectral imagery
- target detection
- spatial resolution
- pattern recognition
- spectral data
- satellite images
- spectral resolution
- information content
- image analysis
- image classification
- feature selection
- remote sensing images
- neural network
- high spatial resolution
- brain tumors
- multispectral images
- remote sensing imagery
- random projections
- data compression
- dimension reduction
- feature vectors
- training set
- feature space
- image processing