A Novel Framework Based on Polarimetric Change Vectors for Unsupervised Multiclass Change Detection in Dual-Pol Intensity SAR Images.
Davide PirroneFrancesca BovoloLorenzo BruzzonePublished in: IEEE Trans. Geosci. Remote. Sens. (2020)
Keyphrases
- multi class
- change detection
- sar images
- synthetic aperture radar
- gamma distributions
- error correcting output codes
- sar imagery
- automatic target recognition
- remote sensing
- remote sensing images
- multi task
- data streams
- polarimetric sar
- multiclass svm
- multiclass classification
- multiclass problems
- sar data
- support vector machine
- satellite images
- edge detector
- image registration
- multispectral
- supervised learning
- pairwise