Hierarchical Manifold Learning With Applications to Supervised Classification for High-Resolution Remotely Sensed Images.
Hong-Bing HuangHong HuoTao FangPublished in: IEEE Trans. Geosci. Remote. Sens. (2014)
Keyphrases
- remotely sensed images
- manifold learning
- supervised classification
- high resolution
- unsupervised learning
- remote sensing
- dimensionality reduction
- supervised learning
- semi supervised
- low dimensional
- low resolution
- change detection
- nonlinear dimensionality reduction
- land cover
- dimension reduction
- high dimensional
- super resolution
- high dimensional data
- remote sensing images
- multispectral
- feature extraction
- sparse representation
- image processing
- semi supervised learning
- high quality
- object recognition
- image segmentation
- spatial resolution
- machine learning
- computer vision
- model selection
- feature space
- learning algorithm