Semi-supervised classification of terrain features in polarimetric SAR images using H/A/α and the general four-component scattering power decompositions.
Stephen DauphinR. Derek WestRobert RileyKatherine M. SimonsonPublished in: ACSSC (2014)
Keyphrases
- sar images
- synthetic aperture radar
- semi supervised classification
- sar imagery
- automatic target recognition
- polarimetric sar
- sar data
- semi supervised
- three dimensional
- oil spill
- feature extraction
- feature vectors
- semi supervised learning
- multispectral
- image reconstruction
- target detection
- wavelet domain
- image denoising
- data sets
- parameter estimation
- co occurrence
- multiresolution
- feature space
- machine learning