Apply semi-supervised support vector regression for remote sensing water quality retrieving.
Xili WangLei MaXilin WangPublished in: IGARSS (2010)
Keyphrases
- remote sensing
- support vector regression
- water quality
- semi supervised
- remote sensing images
- change detection
- multispectral
- high resolution
- satellite imagery
- image fusion
- remote sensing imagery
- image processing
- regression model
- high spatial resolution
- hyperspectral
- support vector machine svm
- satellite images
- remote sensing data
- image analysis
- multi spectral images
- support vector
- satellite data
- automatic image registration
- kernel function
- hybrid model
- support vector classification
- digital image analysis
- water treatment
- support vector machine
- hyperspectral images
- pairwise
- hyperspectral remote sensing
- data sets
- remote sensed images
- forecasting model
- land cover
- infrared
- feature selection
- earth science
- earth observation
- data management
- supervised learning
- knn
- active learning