Name
Title | ||
|---|---|---|
Statistical Scattering Component-Based Subspace Alignment for Unsupervised Cross-Domain PolSAR Image Classification |
Abstract | ||
|---|---|---|
Increasing amounts of polarimetric synthetic aperture radar (PolSAR) images from different sensors covering different scenes are available, but limited labeled samples and trained models can hardly work well in these cross-domain data interpretations. Fortunately, domain adaptation (DA) can transfer knowledge in existing images to new yet related images. DA shows attractive potential for PolSAR cl... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TGRS.2020.3028906 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | DocType | Volume |
Scattering,Synthetic aperture radar,Sensors,Radar imaging,Image sensors,Remote sensing | Journal | 59 |
Issue | ISSN | Citations |
7 | 0196-2892 | 2 |
PageRank | References | Authors |
0.39 | 33 | 5 |