Name
Title | ||
|---|---|---|
Multilevel Distribution Coding Model-Based Dictionary Learning for PolSAR Image Classification |
Abstract | ||
|---|---|---|
This paper presents a new unsupervised classification method of polarimetric synthetic aperture radar (PolSAR) data based on dictionary learning. First, a multilevel distribution coding model is proposed to encode the probability distribution of the rearranged matrix of each pixel in a PolSAR image; this model can generate a stable and adaptive representation of the images, which can be used to ex... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/JSTARS.2015.2460998 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Feature extraction,Dictionaries,Scattering,Data models,Covariance matrices,Polarimetric synthetic aperture radar,Image classification | Computer vision,Feature vector,Pattern recognition,Feature extraction,Probability distribution,Pixel,Artificial intelligence,Classifier (linguistics),Contextual image classification,Cluster analysis,Wishart distribution,Mathematics | Journal |
Volume | Issue | ISSN |
8 | 11 | 1939-1404 |
Citations | PageRank | References |
4 | 0.39 | 30 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Biao Hou | 1 | 368 | 49.04 |
| chao chen | 2 | 77 | 28.25 |
| xiaojuan liu | 3 | 4 | 0.39 |
| Licheng Jiao | 4 | 5698 | 475.84 |