Representation and Classification of Auroral Images Based on Convolutional Neural Networks.
Qiuju YangPenghui ZhouPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2020)
Keyphrases
- image classification
- feature representation
- convolutional neural networks
- image data
- convolutional network
- dissimilarity representation
- input image
- image database
- three dimensional
- object recognition
- pattern recognition
- preprocessing stage
- feature extraction
- image analysis
- classification accuracy
- image features
- image collections
- edge detection
- image registration
- feature vectors
- image retrieval
- skin lesion
- decision trees
- image set
- test images
- image matching
- segmentation method
- visual features
- similarity measure
- object detection
- ground truth
- image regions
- spatial information
- image representation
- image annotation
- feature points
- hyperspectral images
- set of training images
- spatially localized
- support vector machine
- support vector
- training set