Commit bc7e15d7 authored by Marta Enesco's avatar Marta Enesco
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Update README.md

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......@@ -27,16 +27,8 @@ Following image corresponds to the division into granules of the product **S2A_O
![granules](fig/screenshot_granules.jpg)
Sentinel-2 multi-spectral instrument samples 13 spectral bands, as illustrated beneath:
![bands](fig/1S2bands.jpg)
To create a varied and representative spatial dataset, downloaded images cover a large variety of regions from all over the world.
| ![bands](fig/1S2bands.jpg) | ![granules](fig/screenshot_granules.jpg)) |
|---|---|
| S2 spectral bands | Granules |
### 2. Data Classification
By means of different spectral tools, granule pixels are selected and classified into one of the following six classes:
......@@ -63,7 +55,12 @@ And next figure illustrates some classes generation.
![fiji](fig/screenshot_fiji.jpg)
This image of Fiji coastline is displayed in two different false-composites, namely with bands 4/3/2 and bands 8a/3/2. Colored polygons represent four different classes: cyan, yellow, dark blue and green correspond to water, shadow, cloud and clear-sky pixels.
This image of Fiji coastline is displayed in two different false-composites: (a) bands 4/3/2 and (b) bands 8a/3/2. Colored polygons represent four different classes: cyan, yellow, dark blue and green correspond to water, shadow, cloud and clear-sky pixels.
| ![bands](fig/screenshot_marokko.jpg) | ![granules](fig/screenshot_fiji.jpg)) |
|:---: | :---: |
| Marokko | Fiji |
## Dataset
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