Name
Abstract | ||
|---|---|---|
In this article, we propose a surface- and deep-level constraint-based pan-sharpening network, termed SDPNet, to address the pan-sharpening problem. Focusing on the two primary goals of pan-sharpening, i.e., spatial and spectral information preservations, we first design two encoder–decoder networks to extract deep-level features from two types of source images, in addition to surface-level charac... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TGRS.2020.3022482 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | DocType | Volume |
Feature extraction,Spatial resolution,Information representation,Data mining,Satellites,Training | Journal | 59 |
Issue | ISSN | Citations |
5 | 0196-2892 | 2 |
PageRank | References | Authors |
0.35 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Han Xu | 1 | 49 | 2.94 |
| Jiayi Ma | 2 | 243 | 24.12 |
| Zhenfeng Shao | 3 | 204 | 27.69 |
| Hao Zhang | 4 | 203 | 64.03 |
| Junjun Jiang | 5 | 1138 | 74.49 |
| Xiaojie Guo | 6 | 668 | 40.94 |