Abstract
Assessing ground visibility is a crucial step in automatic satellite image analysis. Some Earth observation satellites are provided with spectral bands specially designed for cloud detection. An alternative approach is to detect ground visibility by comparing locally the images in a temporal series: matching regions are necessarily cloud free. Indeed, the ground has persistent patterns that can be observed repetitively in the time series, while clouds change shape constantly. We describe here a ground visibility detection algorithm based on an a contrario local image matching method, coupled with an efficient greedy algorithm.
| Original language | English |
|---|---|
| Pages (from-to) | 212-233 |
| Number of pages | 22 |
| Journal | Image Processing On Line |
| Volume | 11 |
| Early online date | 26 Jul 2021 |
| DOIs | |
| Publication status | Published - 2021 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2021 IPOL & the authors CC–BY–NC–SA.
Funding
We thank Thibaud Ehret for valuable discussions and suggestions. Work partly financed by Office of Naval research grant N00014-17-1-2552, DGA Astrid project “Filmer la Terre” n°. ANR-17-ASTR-0013-01 and Kayrros.
Keywords
- A contrario framework
- Cloud detection
- Ground visibility detection
- Satellite time series
Fingerprint
Dive into the research topics of 'Ground visibility in satellite optical time series based on a contrario local image matching'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver