Hyperspectral fruit and vegetable classification using convolutional neural networks.
Jan SteinbrenerKonstantin PoschRaimund LeitnerPublished in: Comput. Electron. Agric. (2019)
Keyphrases
- hyperspectral
- hyperspectral data
- hyperspectral images
- pixel classification
- hyperspectral image classification
- remote sensing
- hyperspectral imagery
- multispectral
- convolutional neural networks
- band selection
- infrared
- land cover classification
- image data
- hyperspectral remote sensing
- hyperspectral imaging
- pattern recognition
- information content
- feature selection
- support vector machine
- image classification
- satellite images
- dimension reduction
- spectral bands
- feature space
- feature extraction
- supervised classification
- target detection
- high dimensionality
- sparse representation
- active learning
- high resolution
- support vector
- computer vision