Abstract
Image registration is a fundamental tool of remote sensing. The recent proliferation of earth observation satellites has opened the way to the analysis of long image time series with denser temporal repetition. Given this wealth of images, it is crucial to design automatic tools to process them. We thus propose a method for the global registration of satellite image time series, that leverages their redundancy to improve in precision and robustness. By computing the relative displacement for all possible pairs of images, we are able to discard outliers and minimize the number of misaligned images. Experiments on synthetic data show that longer image series are registered with a higher precision.
| Original language | English |
|---|---|
| Title of host publication | IGARSS 2021: 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings |
| Publisher | IEEE |
| Pages | 3121-3124 |
| 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.
Keywords
- Multi-image alignment
- Phase correlation
- Registration