Abstract
The Rational Polynomial Camera (RPC) model can be used to describe a variety of image acquisition systems in remote sensing, notably optical and Synthetic Aperture Radar (SAR) sensors. RPC functions relate 3D to 2D coordinates and vice versa, regardless of physical sensor specificities, which has made them an essential tool to harness satellite images in a generic way. This article describes a terrain-independent algorithm to accurately derive a RPC model from a set of 3D-2D point correspondences based on a regularized least squares fit. The performance of the method is assessed by varying the point correspondences and the size of the area that they cover. We test the algorithm on SAR and optical data, to derive RPCs from physical sensor models or from other RPC models after composition with corrective functions.
| Original language | English |
|---|---|
| Title of host publication | IGARSS 2021: 2021 IEEE International Geoscience and Remote Sensing, Proceedings |
| Publisher | IEEE |
| Pages | 7908-7911 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781665403696 |
| ISBN (Print) | 9781665447621 |
| DOIs | |
| Publication status | Published - 2021 |
| Externally published | Yes |
| Event | 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 - Brussels, Belgium Duration: 12 Jul 2021 → 16 Jul 2021 |
Conference
| Conference | 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 |
|---|---|
| Country/Territory | Belgium |
| City | Brussels |
| Period | 12/07/21 → 16/07/21 |
Bibliographical note
Publisher Copyright:© 2021 IEEE.
Funding
Work partly financed by IDEX Paris-Saclay IDI 2016, ANR-11-IDEX-0003-02, Office of Naval research grant N00014-17-1-2552 and N00014-20-S-B001, DGA Astrid project « filmer la Terre » no ANR-17-ASTR-0013-01, MENRT, and by a grant from Région Île-de-France.
Keywords
- pushbroom cameras
- Rational Polynomial Coefficients
- RPC model
- Synthetic Aperture Radar