Use of Vegetation Change Tracker and Support Vector Machine to Map Disturbance Types in Greater Yellowstone Ecosystems in a 1984-2010 Landsat Time Series.
Feng R. ZhaoChengquan HuangZhiliang ZhuPublished in: IEEE Geosci. Remote. Sens. Lett. (2015)
Keyphrases
- support vector machine
- satellite images
- remote sensing data
- remote sensing
- multispectral
- real time
- svm classifier
- dynamic time warping
- kernel methods
- machine learning
- satellite imagery
- particle filter
- multi class
- feature vectors
- remotely sensed
- image sequences
- decision boundary
- environmental variables
- supervised classification
- autoregressive
- stock market
- change detection
- object tracking
- training set
- training data