Unsupervised Learning of Auroral Optical Flow for Recognition of Poleward Moving Auroral Forms.
Qiuju YangHan XiangPublished in: IEEE Trans. Geosci. Remote. Sens. (2022)
Keyphrases
- unsupervised learning
- optical flow
- physical processes
- moving objects
- object recognition
- supervised learning
- recognition rate
- image sequences
- pattern recognition
- semi supervised
- dimensionality reduction
- recognition accuracy
- moving camera
- feature extraction
- d scene
- optical flow estimation
- machine learning
- recognition algorithm
- motion segmentation
- deep learning
- motion field
- optical flow computation
- motion parameters
- dense optical flow
- background subtraction
- motion model
- camera motion
- model selection
- least squares
- computer vision
- vector field
- recognition process
- expectation maximization
- motion estimation
- three dimensional