Name
Abstract | ||
|---|---|---|
We address the problem of unsupervised visual domain adaptation for transferring scene category models and scene attribute models from ground view images to overhead view very high-resolution (VHR) remote sensing images. We introduce a discriminative cross-view subspace alignment algorithm where each view is represented by a subspace spanned by eigenvectors. The source subspace is created using pa... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/LGRS.2015.2491605 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Remote sensing,Sun,Visualization,Principal component analysis,Databases,Kernel,Adaptation models | Computer science,Source data,Remote sensing,Artificial intelligence,Contextual image classification,Discriminative model,Eigenvalues and eigenvectors,Kernel (linear algebra),Computer vision,Subspace topology,Pattern recognition,Visualization,Principal component analysis | Journal |
Volume | Issue | ISSN |
13 | 1 | 1545-598X |
Citations | PageRank | References |
6 | 0.40 | 14 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hao Sun | 1 | 56 | 7.07 |
| Shuai Liu | 2 | 105 | 29.14 |
| Shilin Zhou | 3 | 72 | 13.94 |
| Huanxin Zou | 4 | 184 | 19.43 |