Unsupervised Selection of Training Samples for Tree Species Classification Using Hyperspectral Data.
Michele DalponteLiviu Theodor EneHans Ole ØrkaTerje GobakkenErik NæssetPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2014)
Keyphrases
- training samples
- supervised learning
- hyperspectral data
- feature space
- training set
- learning algorithm
- hyperspectral images
- nearest neighbor classifier
- hyperspectral
- hyperplane
- training data
- high dimensional
- test sample
- hyperspectral imagery
- face images
- random projections
- classification accuracy
- infrared
- remote sensing
- machine learning
- computer vision
- support vector
- multispectral
- unsupervised learning
- dimensionality reduction
- class labels
- reinforcement learning
- text classification
- high quality
- feature extraction
- wavelet transform
- nearest neighbor