Abstract
High-resolution satellite images have high potential to acquire geospatial information over inaccessible areas such as Antarctica. Reference data are often required to increase the positional accuracy of the satellite data but the data are not available in many inland areas in Antarctica. Therefore this paper presents a multi-image RPCs (Rational Polynomial Coefficients) sensor modeling without any ground controls or reference data. Conjugate points between multi-images are extracted and used for the multi-image sensor modeling. The experiment was carried out for Kompsat-3A and showed that the significant accuracy increase was not observed but the approach has potential to suppress the maximum errors, especially the vertical errors.
| Translated title of the contribution | Multi-Image RPCs Sensor Modeling of High-Resolution Satellite Images Without GCPs |
|---|---|
| Original language | Korean |
| Pages (from-to) | 533-540 |
| Number of pages | 8 |
| Journal | Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography |
| Volume | 39 |
| Issue number | 6 |
| DOIs | |
| State | Published - 2021 |
Keywords
- Ground control point
- High-resolution satellite images
- Multi-images
- Positional accuracy
- RPCs
- Sensor modeling