Abstract
The presence of clouds often causes detection errors in automatic optical satellite images analysis. Cloud detection is thus an important pre-processing step. This work exploits the apparent movement of clouds relative to the ground that is observed between bands due to the parallax effect in push-broom satellites. A simple optical flow is computed by correlation of the gradient direction on a local window. Then, a statistical validation test based on the a-contrario theory is used to reject spurious detections. The proposed method achieves performances in the same order of magnitude as the state of the art, while relying on less input information.
| Original language | English |
|---|---|
| Pages (from-to) | 39-46 |
| Number of pages | 8 |
| Journal | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Volume | 5 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 17 May 2022 |
| Externally published | Yes |
| Event | 2022 24th ISPRS Congress on Imaging Today, Foreseeing Tomorrow, Commission III - Nice, France Duration: 6 Jun 2022 → 11 Jun 2022 |
Bibliographical note
Publisher Copyright:© Authors 2022.
Funding
Work partly financed by Office of Naval research grant N00014-20-S-B001, DGA Astrid project “Filmer la Terre” no. ANR-17-ASTR-0013-01 and Kayrros.
Keywords
- A-contrario theory
- Cloud detection
- Inter-band parallax
- Satellite optical images