Abstract
This paper proposes a cloud detection algorithm for Earth observation images obtained by pushbroom satellite imagers. The pushbroom technology induces an inter-band acquisition delay leading to a parallax effect for the clouds. We propose a method exploiting this characteristic thanks to the analysis of the inter-band disparity. Several other features discriminating clouds are also defined and all are merged to build a robust a contrario statistical decision. Experiments applied on scenes acquired by various pushbroom satellites such as Sentinel-2, RapidEye and WorldView-2 show the effectiveness of the proposed method. In particular, we demonstrate a balanced accuracy rate close to 98% for cloud and non cloud classification for Sentinel-2 images.
| Original language | English |
|---|---|
| Pages (from-to) | 167-190 |
| Number of pages | 24 |
| Journal | Image Processing On Line |
| Volume | 10 |
| Early online date | 21 Nov 2020 |
| DOIs | |
| Publication status | Published - 2020 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2020 IPOL & the authors CC-BY-NC-SA.
Funding
Work partly financed by Office of Naval research grant N00014-20-S-B001, DGA Astrid “filmer la Terre” no ANR-17-ASTR-0013-01 and Kayrros, Inc.
Keywords
- Clouds
- Hypothesis testing
- Optical flow
- Pushbroom
- RapidEye
- Sentinel-2
- WorldView-2