Hierarchical Manifold Learning With Applications to Supervised Classification for High-Resolution Remotely Sensed Images

Manifold learning is one of the representative nonlinear dimensionality reduction techniques and has had many successful applications in the fields of information processing, especially pattern classification, and computer vision. However, when it is used for supervised classification, in particular for hierarchical classification, the result is still… CONTINUE READING