Jointly Informative and Manifold Structure Representative Sampling Based Active Learning for Remote Sensing Image Classification.
Alim SamatPaolo GambaSicong LiuPeijun DuJilili AbuduwailiPublished in: IEEE Trans. Geosci. Remote. Sens. (2016)
Keyphrases
- remote sensing
- manifold structure
- image classification
- active learning
- sparse coding
- semi supervised learning
- remotely sensed data
- manifold learning
- semi supervised
- change detection
- remote sensing images
- multispectral
- feature extraction
- image representation
- sparse representation
- hyperspectral
- supervised learning
- remote sensing data
- bag of words
- low dimensional
- image fusion
- labeled data
- visual features
- data points
- satellite images
- visual words
- image analysis
- image features
- image processing
- machine learning
- high resolution
- land cover
- metric learning
- hyperspectral images
- low rank
- learning algorithm
- dimensionality reduction
- training set
- geometric structure
- medical imaging
- spectral clustering
- random sampling
- learning process
- riemannian manifolds
- transfer learning
- feature space
- object recognition
- generative model
- natural images