Cost-Sensitive Active Learning With Lookahead: Optimizing Field Surveys for Remote Sensing Data Classification.
Claudio PerselloAbdeslam BoulariasMichele DalponteTerje GobakkenErik NæssetBernhard SchölkopfPublished in: IEEE Trans. Geosci. Remote. Sens. (2014)
Keyphrases
- remote sensing data
- pattern recognition
- remote sensing
- feature extraction
- land cover
- classification accuracy
- feature space
- decision trees
- remotely sensed data
- support vector machine
- image classification
- feature vectors
- cost sensitive
- hyperspectral
- supervised classification
- hyperspectral images
- cost sensitive learning
- support vector
- text classification
- class labels
- multispectral
- classification rules