Name
Title | ||
|---|---|---|
Patch-Based Reconstruction Of High Resolution Satellite Image Time Series With Missing Values Using Spatial, Spectral And Temporal Similarities |
Abstract | ||
|---|---|---|
The reconstruction of missing data in image time series due to cloud masking, among other reasons, is addressed in this paper. A new patch-based strategy based on the similarities between the spatial, spectral and temporal evolutions of the image pixel values is proposed. Experiments are carried out using Landsat-8 and SPOT-5 image time series. The proposed methodology is compared to classical temporal interpolation approaches. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/IGARSS.2016.7729596 | 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) |
Keywords | Field | DocType |
Cloud removal, image reconstruction, Satellite Image Time Series, High resolution | Iterative reconstruction,Computer vision,Time series,Feature detection (computer vision),Masking (art),Computer science,Satellite Image Time Series,Interpolation,Remote sensing,Artificial intelligence,Pixel,Missing data | Conference |
ISSN | Citations | PageRank |
2153-6996 | 0 | 0.34 |
References | Authors | |
3 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Silvia Valero | 1 | 171 | 13.81 |
| Charlotte Pelletier | 2 | 66 | 5.97 |
| Marina Bertolino | 3 | 0 | 0.34 |