A self-trained semisupervised SVM approach to the remote sensing land cover classification.
Ying LiuBai ZhangLi-min WangNan WangPublished in: Comput. Geosci. (2013)
Keyphrases
- land cover classification
- remote sensing
- multispectral
- remote sensing imagery
- high spatial resolution
- remote sensing data
- land cover
- hyperspectral
- semi supervised
- change detection
- training set
- satellite data
- remote sensing images
- high resolution
- knn
- image analysis
- supervised classification
- image processing
- satellite images
- image fusion
- satellite imagery
- hyperspectral imagery
- training data
- automatic image registration
- multispectral images
- infrared
- supervised learning
- machine learning
- data sets
- hyperspectral images
- video camera
- hyperspectral data
- feature vectors
- high quality
- feature selection