Name
Title | ||
|---|---|---|
Coregistration of Satellite Images and Airborne LiDAR Data Through the Automatic Bias Reduction of RPCs |
Abstract | ||
|---|---|---|
Rational polynomial coefficients (RPCs), which are provided for most of the commercial satellite images, match relevant image locations to their three-dimensional-ground positions. In spite of their key role in most of remote sensing analysis, a considerable amount of bias is usually seen in the RPCs that necessitate their refinement as a common preprocessing. This refinement is typically performe... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/JSTARS.2016.2585588 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Laser radar,Optical imaging,Feature extraction,Remote sensing,Satellites,Radiometry,Buildings | Frequency domain,Coordinate system,Computer vision,Shadow,Satellite,Remote sensing,Shadow mapping,Preprocessor,Pixel,Artificial intelligence,Cluster analysis,Mathematics | Journal |
Volume | Issue | ISSN |
10 | 2 | 1939-1404 |
Citations | PageRank | References |
1 | 0.38 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alireza Safdarinezhad | 1 | 1 | 0.72 |
| Mehdi Mokhtarzade | 2 | 71 | 8.10 |
| Mohammad Javad Valadan Zoej | 3 | 65 | 10.19 |