Active Learning with SVM for Land Cover Classification - What Can Go Wrong?
Sebastian WuttkeWolfgang MiddelmannUwe StillaPublished in: AL@iKNOW (2016)
Keyphrases
- land cover classification
- active learning
- multispectral
- support vector machine svm
- supervised classification
- support vector
- training set
- remote sensing data
- knn
- machine learning
- remote sensing
- support vector machine
- land cover
- random sampling
- high spatial resolution
- hyperspectral
- semi supervised
- learning algorithm
- supervised learning
- active learning framework
- feature selection
- feature vectors
- remote sensing imagery
- satellite data
- remote sensing images
- multispectral images
- data sets
- change detection
- spatial resolution
- training data
- learning process
- image data
- multiresolution
- high resolution