Supervised PolSAR Image Classification with Multiple Features and Locally Linear Embedding.
Qiang ZhangXinli WeiDeliang XiangMengqing SunPublished in: Sensors (2018)
Keyphrases
- multiple features
- locally linear embedding
- image classification
- dimensionality reduction
- manifold learning
- feature space
- multiple instance learning
- feature extraction
- high dimensional
- low dimensional
- semi supervised
- high dimensional data
- metric learning
- visual features
- feature set
- dimensional data
- data fusion
- unsupervised learning
- principal component analysis
- feature selection
- visual information
- low level features
- image representation
- feature vectors
- sparse representation
- supervised learning
- image retrieval
- incremental learning
- learning algorithm
- image features
- principal components analysis
- dimensionality reduction methods
- data sets
- subspace learning
- visual words
- combining multiple
- multi label
- relevance feedback
- multiple views
- machine learning
- sparse coding
- nearest neighbor
- multi class
- training data
- linear discriminant analysis
- class labels
- multiscale
- data analysis
- data points
- low level
- viewpoint