Name
Title | ||
|---|---|---|
Super-Resolution of Single Remote Sensing Image Based on Residual Dense Backprojection Networks. |
Abstract | ||
|---|---|---|
High-resolution (HR) images are always preferred for many remote sensing applications, which can be obtained from their low-resolution (LR) counterparts via a technique referred to as super-resolution (SR). Among SR approaches, single image SR (SISR) methods aim at reconstructing the HR image from only one LR image. In this paper, a residual dense backprojection network (RDBPN)-based SISR method i... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TGRS.2019.2917427 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Remote sensing,Image reconstruction,Spatial resolution,Image edge detection,Periodic structures,Learning systems | Iterative reconstruction,Computer vision,Residual,Remote sensing,Image based,Remote sensing application,Artificial intelligence,RGB color model,Image resolution,Superresolution,Mathematics,Speedup | Journal |
Volume | Issue | ISSN |
57 | 10 | 0196-2892 |
Citations | PageRank | References |
4 | 0.38 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zongxu Pan | 1 | 74 | 8.13 |
| Wen Ma | 2 | 9 | 0.78 |
| Jiayi Guo | 3 | 9 | 1.79 |
| Bin Lei | 4 | 26 | 6.38 |