Name
Title | ||
|---|---|---|
Robust Locally Weighted Regression for Superresolution Enhancement of Multi-Angle Remote Sensing Imagery |
Abstract | ||
|---|---|---|
This paper presents a robust locally weighted least-squares kernel regression method for superresolution (SR) enhancement of multi-angle remote sensing imagery. The method is based on the concept of kernel-based regression, where the local image patch is approximated by an \mbiN-term Taylor series. To reduce the impact of high frequency noise on SR performance, a robust fitting procedure is adopte... |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/JSTARS.2014.2312887 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Kernel,Robustness,Remote sensing,Interpolation,Spatial resolution,Image reconstruction | Image fusion,Remote sensing,Local regression,Artificial intelligence,Kernel regression,Kernel (linear algebra),Computer vision,Pattern recognition,Image sensor,Panchromatic film,Approximation theory,Image resolution,Mathematics | Journal |
Volume | Issue | ISSN |
7 | 4 | 1939-1404 |
Citations | PageRank | References |
2 | 0.38 | 22 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianglin Ma | 1 | 87 | 6.76 |
| Jonathan Cheung-Wai Chan | 2 | 155 | 18.46 |
| Frank Canters | 3 | 170 | 21.66 |