A low-rank fully convolutional network for classification based on a multi-dimensional description primitive of time series polarimetric sar images.
Chu HeGong HanXinlong LiuHuai YuPublished in: IGARSS (2017)
Keyphrases
- sar images
- low rank
- synthetic aperture radar
- automatic target recognition
- sar imagery
- sar data
- polarimetric sar
- matrix factorization
- singular value decomposition
- wavelet domain
- missing data
- linear combination
- pattern recognition
- semi supervised
- convex optimization
- feature extraction
- image classification
- parameter estimation
- object detection
- feature vectors
- gray level
- image restoration
- machine learning
- model selection
- markov random field
- least squares
- active learning
- feature selection